Trainings und Validations
Contents
Trainings und Validations#
! git clone https://github.com/ultralytics/yolov5.git
Cloning into 'yolov5'...
remote: Enumerating objects: 14654, done.
remote: Counting objects: 100% (208/208), done.
remote: Compressing objects: 100% (99/99), done.
remote: Total 14654 (delta 131), reused 174 (delta 109), pack-reused 14446
Receiving objects: 100% (14654/14654), 13.52 MiB | 36.81 MiB/s, done.
Resolving deltas: 100% (10104/10104), done.
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
%cd yolov5
%pip install -qr requirements.txt
/content/yolov5
|████████████████████████████████| 1.6 MB 6.2 MB/s
?25h
import torch
import os
from IPython.display import Image, clear_output
from google.colab import files
import shutil
import subprocess
for i in [("/content/drive/MyDrive/dataset/planes_and_helicopters_tiles.yaml","/content/yolov5/data/planes_and_helicopters_tiles.yaml"),("/content/drive/MyDrive/dataset/planes_and_helicopters.yaml","/content/yolov5/data/planes_and_helicopters.yaml"),("/content/drive/MyDrive/dataset/planes.yaml","/content/yolov5/data/planes.yaml")]:
src_file = i[0]
dst_file = i[1]
shutil.copy(src_file, dst_file)
Vorgehensweise#
Dies ist die aufgeräumte Arbeitsdatei, welche rund 30 Modell-Trainings enthielt. In den folgenden Zellen werden die Trainingsdurchläufe der Modelle dargestellt. Diese wurden iterativ evaluiert und optimiert. Daher erfolgt die genauere Beschreibung im Abschnitt zur Evaluation und Optimierung. Ältere Modelle wurden mit der Validation-Funktion erzeugt. Neuere Modelle zeigen die Trainingsläufe. Die Modelle 1,2 und 7 sind leider verloren gegangen.
Modell 3#
!python val.py --weights /content/drive/MyDrive/dataset/weights_collection/zeile11_best.pt --img 1280 --data planes_and_helicopters.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile11_validation
val: data=/content/yolov5/data/planes_and_helicopters.yaml, weights=['/content/drive/MyDrive/dataset/weights_collection/zeile11_best.pt'], batch_size=32, imgsz=1280, conf_thres=0.001, iou_thres=0.6, max_det=300, task=val, device=, workers=8, single_cls=False, augment=False, verbose=False, save_txt=False, save_hybrid=False, save_conf=False, save_json=False, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile11_validation, exist_ok=False, half=False, dnn=False
YOLOv5 🚀 v6.2-208-g8236d88 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
val: Scanning '/content/drive/MyDrive/dataset/labels/validation.cache' images and labels... 70 found, 388 missing, 0 empty, 0 corrupt: 100% 458/458 [00:00<?, ?it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [01:26<00:00, 5.77s/it]
all 458 2604 0.929 0.538 0.598 0.357
plane 458 2531 0.918 0.748 0.802 0.561
helicopter 458 73 0.941 0.329 0.393 0.152
Speed: 2.8ms pre-process, 20.2ms inference, 1.4ms NMS per image at shape (32, 3, 1280, 1280)
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile11_validation
Modell 4#
!python val.py --weights /content/drive/MyDrive/dataset/weights_collection/zeile16_best.pt --img 1920 --data planes_and_helicopters.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile16_validation
val: data=/content/yolov5/data/planes_and_helicopters.yaml, weights=['/content/drive/MyDrive/dataset/weights_collection/zeile16_best.pt'], batch_size=32, imgsz=1920, conf_thres=0.001, iou_thres=0.6, max_det=300, task=val, device=, workers=8, single_cls=False, augment=False, verbose=False, save_txt=False, save_hybrid=False, save_conf=False, save_json=False, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile16_validation, exist_ok=False, half=False, dnn=False
YOLOv5 🚀 v6.2-208-g8236d88 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
val: Scanning '/content/drive/MyDrive/dataset/labels/validation.cache' images and labels... 70 found, 388 missing, 0 empty, 0 corrupt: 100% 458/458 [00:00<?, ?it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [01:42<00:00, 6.81s/it]
all 458 2604 0.906 0.597 0.641 0.399
plane 458 2531 0.915 0.796 0.848 0.618
helicopter 458 73 0.898 0.397 0.434 0.18
Speed: 5.6ms pre-process, 47.3ms inference, 1.6ms NMS per image at shape (32, 3, 1920, 1920)
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile16_validation
Modell 5#
!python val.py --weights /content/drive/MyDrive/dataset/weights_collection/zeile17_best.pt --img 1280 --data planes.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile17_validation
val: data=/content/yolov5/data/planes.yaml, weights=['/content/drive/MyDrive/dataset/weights_collection/zeile17_best.pt'], batch_size=32, imgsz=1280, conf_thres=0.001, iou_thres=0.6, max_det=300, task=val, device=, workers=8, single_cls=False, augment=False, verbose=False, save_txt=False, save_hybrid=False, save_conf=False, save_json=False, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile17_validation, exist_ok=False, half=False, dnn=False
YOLOv5 🚀 v6.2-208-g8236d88 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
Fusing layers...
Model summary: 157 layers, 7012822 parameters, 0 gradients, 15.8 GFLOPs
val: Scanning '/content/drive/MyDrive/dataset/labels/validation_plane.cache' images and labels... 70 found, 388 missing, 0 empty, 0 corrupt: 100% 458/458 [00:00<?, ?it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [01:24<00:00, 5.63s/it]
all 458 2531 0.951 0.738 0.803 0.571
Speed: 3.0ms pre-process, 20.1ms inference, 1.2ms NMS per image at shape (32, 3, 1280, 1280)
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile17_validation4
Modell 6#
!python val.py --weights /content/drive/MyDrive/dataset/weights_collection/zeile18_best.pt --img 1280 --data planes_and_helicopters.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile18_validation
val: data=/content/yolov5/data/planes_and_helicopters.yaml, weights=['/content/drive/MyDrive/dataset/weights_collection/zeile18_best.pt'], batch_size=32, imgsz=1280, conf_thres=0.001, iou_thres=0.6, max_det=300, task=val, device=, workers=8, single_cls=False, augment=False, verbose=False, save_txt=False, save_hybrid=False, save_conf=False, save_json=False, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile18_validation, exist_ok=False, half=False, dnn=False
YOLOv5 🚀 v6.2-208-g8236d88 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
val: Scanning '/content/drive/MyDrive/dataset/labels/validation.cache' images and labels... 70 found, 388 missing, 0 empty, 0 corrupt: 100% 458/458 [00:00<?, ?it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [01:25<00:00, 5.71s/it]
all 458 2604 0.93 0.549 0.593 0.35
plane 458 2531 0.903 0.756 0.792 0.556
helicopter 458 73 0.957 0.342 0.394 0.145
Speed: 2.5ms pre-process, 21.3ms inference, 1.8ms NMS per image at shape (32, 3, 1280, 1280)
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile18_validation
Modell 8#
!python train.py --weights yolov5s.pt --epochs 300 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile24_T2_Tiled_TrainingData --cache
train: weights=yolov5s.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=300, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile24_T2_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (A100-SXM4-40GB, 40536MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
2022-10-27 17:06:35.417356: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Overriding model.yaml nc=80 with nc=2
from n params module arguments
0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 2 115712 models.common.C3 [128, 128, 2]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 3 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 1182720 models.common.C3 [512, 512, 1]
9 -1 1 656896 models.common.SPPF [512, 512, 5]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 18879 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
Model summary: 214 layers, 7025023 parameters, 7025023 gradients, 16.0 GFLOPs
Transferred 343/349 items from yolov5s.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.00046875), 60 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 0 missing, 0 empty, 0 corrupt: 100% 2063/2063 [00:00<?, ?it/s]
train: Caching images (2.5GB ram): 100% 2063/2063 [00:06<00:00, 341.79it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 0 missing, 0 empty, 0 corrupt: 100% 655/655 [00:00<?, ?it/s]
val: Caching images (0.8GB ram): 100% 655/655 [00:02<00:00, 288.35it/s]
AutoAnchor: 5.22 anchors/target, 0.974 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7339: 100% 1000/1000 [00:01<00:00, 697.11it/s]
AutoAnchor: thr=0.25: 0.9692 best possible recall, 5.64 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.361/0.738-mean/best, past_thr=0.490-mean: 33,30, 20,68, 72,21, 47,57, 78,69, 106,116, 156,149, 328,122, 241,248
AutoAnchor: Done ⚠️ (original anchors better than new anchors, proceeding with original anchors)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile24_T2_Tiled_TrainingData/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile24_T2_Tiled_TrainingData
Starting training for 300 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/299 6.1G 0.09089 0.04771 0.01469 114 640: 100% 69/69 [00:12<00:00, 5.63it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.726 0.228 0.191 0.0689
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/299 7.78G 0.06788 0.03736 0.005832 148 640: 100% 69/69 [00:09<00:00, 7.53it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.49it/s]
all 655 3065 0.805 0.285 0.29 0.109
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/299 7.78G 0.06276 0.03518 0.005197 189 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.75it/s]
all 655 3065 0.254 0.292 0.203 0.0714
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/299 7.78G 0.05339 0.03141 0.00377 124 640: 100% 69/69 [00:08<00:00, 7.85it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.428 0.34 0.379 0.179
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/299 7.78G 0.04748 0.03193 0.002918 151 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.74it/s]
all 655 3065 0.419 0.422 0.371 0.203
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/299 7.78G 0.04439 0.02992 0.002509 94 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.49 0.388 0.41 0.22
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/299 7.78G 0.0431 0.03123 0.002226 140 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.541 0.416 0.431 0.245
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/299 7.78G 0.04115 0.02964 0.002024 166 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.72it/s]
all 655 3065 0.612 0.49 0.492 0.291
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/299 7.78G 0.03847 0.02813 0.001769 151 640: 100% 69/69 [00:08<00:00, 7.79it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.74it/s]
all 655 3065 0.671 0.456 0.471 0.287
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/299 7.78G 0.03852 0.02885 0.001544 182 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.541 0.441 0.463 0.286
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/299 7.78G 0.03794 0.02868 0.001352 146 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.653 0.517 0.524 0.323
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/299 7.78G 0.03638 0.02756 0.001335 117 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.565 0.533 0.519 0.313
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/299 7.78G 0.03582 0.02747 0.001588 203 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.652 0.493 0.521 0.314
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/299 7.78G 0.03506 0.0272 0.001189 128 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.561 0.462 0.5 0.311
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/299 7.78G 0.03501 0.02645 0.001176 194 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.516 0.493 0.449 0.279
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/299 7.78G 0.03434 0.02691 0.001091 114 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.578 0.49 0.524 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/299 7.78G 0.03361 0.02728 0.001146 106 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.625 0.514 0.538 0.348
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/299 7.78G 0.03304 0.02531 0.001061 138 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.539 0.484 0.444 0.287
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/299 7.78G 0.03328 0.02551 0.001036 145 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.603 0.513 0.493 0.322
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/299 7.78G 0.03248 0.02616 0.0009268 142 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.71it/s]
all 655 3065 0.552 0.522 0.482 0.312
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/299 7.78G 0.03266 0.02618 0.0008325 163 640: 100% 69/69 [00:08<00:00, 7.82it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.628 0.468 0.516 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/299 7.78G 0.03254 0.02539 0.0008623 96 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.598 0.525 0.488 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/299 7.78G 0.03128 0.02613 0.0007117 226 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.624 0.524 0.53 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/299 7.78G 0.03202 0.02534 0.0009176 179 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.641 0.435 0.511 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/299 7.78G 0.03111 0.02531 0.0008215 221 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.732 0.518 0.572 0.351
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/299 7.78G 0.03099 0.0249 0.0008875 129 640: 100% 69/69 [00:08<00:00, 7.83it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.677 0.489 0.547 0.356
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/299 7.78G 0.03125 0.02501 0.0007353 89 640: 100% 69/69 [00:09<00:00, 7.56it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.667 0.548 0.559 0.358
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/299 7.78G 0.03006 0.02484 0.0006549 104 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.631 0.593 0.563 0.368
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/299 7.78G 0.03031 0.02469 0.0006591 165 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.662 0.541 0.567 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/299 7.78G 0.03008 0.02372 0.0006518 104 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.76it/s]
all 655 3065 0.741 0.498 0.577 0.368
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/299 7.78G 0.03026 0.02408 0.0007603 112 640: 100% 69/69 [00:09<00:00, 7.55it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.579 0.548 0.537 0.35
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/299 7.78G 0.0305 0.02479 0.0006944 190 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.63 0.604 0.583 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/299 7.78G 0.02931 0.02399 0.0007802 110 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.611 0.527 0.539 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/299 7.78G 0.02994 0.02452 0.0006108 165 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.64 0.544 0.537 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/299 7.78G 0.02986 0.02457 0.0009653 188 640: 100% 69/69 [00:08<00:00, 7.85it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.558 0.591 0.536 0.353
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/299 7.78G 0.02936 0.0244 0.0005803 137 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.623 0.553 0.538 0.357
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/299 7.78G 0.02902 0.02425 0.0006012 116 640: 100% 69/69 [00:08<00:00, 7.81it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.724 0.542 0.566 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/299 7.78G 0.02904 0.02382 0.0006843 120 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.579 0.491 0.513 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/299 7.78G 0.0286 0.02385 0.0006928 133 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.704 0.534 0.589 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/299 7.78G 0.02891 0.0236 0.0005622 104 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.61 0.579 0.545 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/299 7.78G 0.02791 0.02283 0.0006002 112 640: 100% 69/69 [00:09<00:00, 7.56it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.556 0.574 0.514 0.351
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/299 7.78G 0.02905 0.02315 0.0006132 165 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.571 0.615 0.52 0.352
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/299 7.78G 0.02867 0.02353 0.0005192 114 640: 100% 69/69 [00:08<00:00, 7.88it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.569 0.577 0.538 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/299 7.78G 0.02742 0.02299 0.0004748 126 640: 100% 69/69 [00:09<00:00, 7.63it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.682 0.605 0.579 0.369
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/299 7.78G 0.02795 0.02288 0.0004461 123 640: 100% 69/69 [00:08<00:00, 7.79it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.67it/s]
all 655 3065 0.567 0.63 0.569 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/299 7.78G 0.02778 0.0236 0.0004912 155 640: 100% 69/69 [00:09<00:00, 7.57it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.572 0.614 0.533 0.357
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/299 7.78G 0.0274 0.02276 0.0004385 173 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.615 0.582 0.589 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/299 7.78G 0.02753 0.02243 0.0003424 164 640: 100% 69/69 [00:09<00:00, 7.58it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.689 0.541 0.594 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/299 7.78G 0.02754 0.02283 0.0005048 135 640: 100% 69/69 [00:08<00:00, 7.82it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.597 0.576 0.553 0.368
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/299 7.78G 0.02751 0.02204 0.0004449 137 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.625 0.551 0.555 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/299 7.78G 0.02751 0.02353 0.0004004 204 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.591 0.565 0.525 0.356
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/299 7.78G 0.02732 0.02246 0.0004928 78 640: 100% 69/69 [00:08<00:00, 7.88it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.76it/s]
all 655 3065 0.556 0.594 0.544 0.372
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/299 7.78G 0.02727 0.02338 0.0003815 262 640: 100% 69/69 [00:08<00:00, 7.82it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.709 0.609 0.624 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/299 7.78G 0.02713 0.02297 0.0003794 93 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.577 0.555 0.552 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/299 7.78G 0.02727 0.02219 0.0005077 91 640: 100% 69/69 [00:09<00:00, 7.61it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.627 0.548 0.552 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/299 7.78G 0.0272 0.02249 0.0003342 117 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.618 0.548 0.547 0.365
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/299 7.78G 0.02652 0.02249 0.000384 131 640: 100% 69/69 [00:08<00:00, 7.84it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.746 0.514 0.601 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/299 7.78G 0.02624 0.02157 0.000355 101 640: 100% 69/69 [00:09<00:00, 7.59it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.747 0.57 0.639 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/299 7.78G 0.02657 0.02241 0.0003497 152 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.633 0.611 0.584 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/299 7.78G 0.02655 0.02184 0.0003657 149 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.606 0.592 0.568 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/299 7.78G 0.02623 0.02239 0.0003942 100 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.75it/s]
all 655 3065 0.692 0.627 0.646 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/299 7.78G 0.02637 0.02181 0.0004138 179 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.695 0.545 0.586 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/299 7.78G 0.02618 0.02191 0.0003601 151 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.592 0.588 0.551 0.362
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/299 7.78G 0.0261 0.02177 0.0003895 136 640: 100% 69/69 [00:09<00:00, 7.60it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.673 0.617 0.625 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/299 7.78G 0.02589 0.02152 0.0003707 140 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.628 0.536 0.585 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/299 7.78G 0.02588 0.02173 0.0004525 153 640: 100% 69/69 [00:08<00:00, 7.86it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.591 0.568 0.574 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/299 7.78G 0.02568 0.02192 0.000408 142 640: 100% 69/69 [00:08<00:00, 7.84it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.669 0.546 0.577 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/299 7.78G 0.02571 0.02138 0.0004466 124 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.622 0.593 0.561 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/299 7.78G 0.0256 0.02128 0.0004949 134 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.767 0.538 0.623 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/299 7.78G 0.02571 0.02146 0.0004172 212 640: 100% 69/69 [00:08<00:00, 7.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.816 0.542 0.623 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/299 7.78G 0.02594 0.02116 0.0006229 183 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.575 0.569 0.566 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/299 7.78G 0.02564 0.02144 0.0003507 113 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.594 0.626 0.58 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/299 7.78G 0.02546 0.02147 0.0003056 109 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.65 0.481 0.548 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/299 7.78G 0.02509 0.02126 0.0003505 188 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.87it/s]
all 655 3065 0.57 0.551 0.533 0.361
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/299 7.78G 0.02571 0.02189 0.0003263 121 640: 100% 69/69 [00:08<00:00, 7.86it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.638 0.58 0.603 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/299 7.78G 0.02465 0.02119 0.0003448 116 640: 100% 69/69 [00:08<00:00, 7.83it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.678 0.55 0.587 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/299 7.78G 0.02521 0.0213 0.000363 156 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.776 0.531 0.621 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/299 7.78G 0.02481 0.02137 0.0003476 137 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.64 0.562 0.583 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/299 7.78G 0.02474 0.02209 0.0005246 156 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.646 0.554 0.589 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/299 7.78G 0.02493 0.02086 0.000359 131 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.76it/s]
all 655 3065 0.641 0.537 0.562 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/299 7.78G 0.02554 0.02165 0.0003052 231 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.657 0.559 0.575 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/299 7.78G 0.02537 0.02154 0.0003065 142 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.661 0.595 0.601 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/299 7.78G 0.02494 0.02198 0.0003119 137 640: 100% 69/69 [00:09<00:00, 7.55it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.736 0.555 0.59 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/299 7.78G 0.02471 0.02084 0.0002583 111 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.649 0.555 0.575 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/299 7.78G 0.02437 0.02103 0.0002919 67 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.613 0.558 0.562 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/299 7.78G 0.02455 0.02126 0.000246 135 640: 100% 69/69 [00:08<00:00, 7.83it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.688 0.587 0.564 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/299 7.78G 0.02434 0.02107 0.0002467 102 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.733 0.588 0.627 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/299 7.78G 0.0245 0.02157 0.0002777 143 640: 100% 69/69 [00:09<00:00, 7.63it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.747 0.566 0.627 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/299 7.78G 0.02471 0.02165 0.0003571 129 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.672 0.585 0.577 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/299 7.78G 0.02453 0.02115 0.0003124 225 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.74it/s]
all 655 3065 0.621 0.613 0.563 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/299 7.78G 0.02397 0.0206 0.0002678 176 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.616 0.595 0.554 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/299 7.78G 0.0246 0.021 0.0002821 132 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.68 0.606 0.624 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/299 7.78G 0.0242 0.02033 0.0002506 140 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.628 0.606 0.594 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/299 7.78G 0.02365 0.0211 0.0003138 94 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.664 0.568 0.605 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/299 7.78G 0.02401 0.02053 0.0002818 144 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.747 0.541 0.618 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/299 7.78G 0.02373 0.02137 0.0002823 169 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.611 0.605 0.58 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/299 7.78G 0.02398 0.02064 0.0003034 106 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.627 0.643 0.619 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/299 7.78G 0.02321 0.02015 0.0002594 136 640: 100% 69/69 [00:08<00:00, 7.79it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.601 0.584 0.56 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/299 7.78G 0.02429 0.02053 0.000245 133 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.63 0.576 0.597 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/299 7.78G 0.02325 0.02065 0.000245 255 640: 100% 69/69 [00:08<00:00, 7.73it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.646 0.635 0.612 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/299 7.78G 0.0233 0.02058 0.0002026 135 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.608 0.592 0.576 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/299 7.78G 0.02352 0.02027 0.0002267 123 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.628 0.577 0.583 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/299 7.78G 0.02382 0.02074 0.0002254 106 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.624 0.565 0.561 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/299 7.78G 0.02363 0.02027 0.0002451 156 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.72it/s]
all 655 3065 0.604 0.607 0.589 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/299 7.78G 0.0235 0.01995 0.0002229 194 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.593 0.593 0.563 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/299 7.78G 0.02284 0.02087 0.0002596 198 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.597 0.576 0.556 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/299 7.78G 0.02388 0.02089 0.0002732 113 640: 100% 69/69 [00:08<00:00, 7.84it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.631 0.656 0.613 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/299 7.78G 0.0231 0.02013 0.0002483 166 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.608 0.617 0.585 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/299 7.78G 0.02334 0.02002 0.0002364 135 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.611 0.53 0.557 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/299 7.78G 0.02354 0.01938 0.0002598 90 640: 100% 69/69 [00:08<00:00, 7.84it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.746 0.548 0.62 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/299 7.78G 0.02312 0.02018 0.0002112 196 640: 100% 69/69 [00:08<00:00, 7.85it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.691 0.582 0.61 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/299 7.78G 0.02301 0.01969 0.0002477 154 640: 100% 69/69 [00:09<00:00, 7.60it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.717 0.609 0.651 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/299 7.78G 0.02265 0.02018 0.0001991 202 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.73 0.586 0.618 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/299 7.78G 0.02251 0.02034 0.0001859 133 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.714 0.562 0.625 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/299 7.78G 0.02283 0.02005 0.0002855 126 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.624 0.562 0.558 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/299 7.78G 0.02295 0.01986 0.0002523 146 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.666 0.556 0.575 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/299 7.78G 0.02284 0.01944 0.000277 112 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.821 0.531 0.62 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/299 7.78G 0.02277 0.01986 0.0002348 225 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.765 0.539 0.616 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/299 7.78G 0.02283 0.02012 0.0001882 131 640: 100% 69/69 [00:09<00:00, 7.61it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.703 0.543 0.598 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/299 7.78G 0.02286 0.01939 0.0001696 184 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.74 0.554 0.63 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/299 7.78G 0.02262 0.01977 0.0002089 132 640: 100% 69/69 [00:08<00:00, 7.82it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.588 0.594 0.574 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/299 7.78G 0.02255 0.01996 0.0002085 104 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.75it/s]
all 655 3065 0.681 0.536 0.597 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/299 7.78G 0.02256 0.01963 0.0002355 176 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.585 0.618 0.551 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/299 7.78G 0.02239 0.01948 0.0002158 120 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.626 0.534 0.565 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/299 7.78G 0.02261 0.01955 0.000209 142 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.619 0.619 0.609 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/299 7.78G 0.02264 0.0196 0.0002521 160 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.655 0.61 0.594 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/299 7.78G 0.02237 0.01866 0.0001735 104 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.625 0.563 0.575 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/299 7.78G 0.02225 0.01978 0.0002149 191 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.704 0.515 0.576 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/299 7.78G 0.02211 0.01915 0.0002067 129 640: 100% 69/69 [00:09<00:00, 7.63it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.709 0.572 0.593 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/299 7.78G 0.02255 0.01941 0.0002492 176 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.625 0.584 0.581 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/299 7.78G 0.02216 0.01943 0.0001647 137 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.713 0.549 0.574 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/299 7.78G 0.0226 0.01941 0.0002115 144 640: 100% 69/69 [00:09<00:00, 7.56it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.632 0.594 0.58 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/299 7.78G 0.02273 0.01932 0.0002156 183 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.581 0.576 0.51 0.358
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/299 7.78G 0.02193 0.01886 0.0002314 92 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.651 0.583 0.605 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/299 7.78G 0.022 0.01925 0.0003029 140 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.689 0.548 0.592 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/299 7.78G 0.02231 0.01949 0.0001946 282 640: 100% 69/69 [00:09<00:00, 7.54it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.75it/s]
all 655 3065 0.706 0.53 0.57 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/299 7.78G 0.02233 0.01942 0.0001626 165 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.65 0.597 0.598 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/299 7.78G 0.02162 0.01918 0.0002 114 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.709 0.54 0.612 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/299 7.78G 0.02209 0.01901 0.0002489 159 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.634 0.632 0.605 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/299 7.78G 0.02195 0.01874 0.0001751 180 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.616 0.633 0.58 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/299 7.78G 0.02215 0.01933 0.0002023 117 640: 100% 69/69 [00:08<00:00, 7.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.609 0.597 0.575 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/299 7.78G 0.02132 0.02006 0.0001792 103 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.748 0.554 0.617 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/299 7.78G 0.02121 0.01855 0.000189 111 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.86it/s]
all 655 3065 0.64 0.595 0.606 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/299 7.78G 0.02139 0.0184 0.000264 149 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.632 0.615 0.577 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/299 7.78G 0.02115 0.01946 0.000191 127 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.627 0.587 0.561 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/299 7.78G 0.02168 0.01897 0.0001793 150 640: 100% 69/69 [00:08<00:00, 7.82it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.643 0.574 0.573 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/299 7.78G 0.02153 0.01859 0.00018 111 640: 100% 69/69 [00:08<00:00, 7.85it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.744 0.553 0.616 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/299 7.78G 0.02128 0.01799 0.0001593 99 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.636 0.638 0.605 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/299 7.78G 0.02163 0.01915 0.0001447 176 640: 100% 69/69 [00:08<00:00, 7.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.59 0.607 0.565 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/299 7.78G 0.02133 0.01875 0.000175 115 640: 100% 69/69 [00:09<00:00, 7.61it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.687 0.525 0.582 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
150/299 7.78G 0.02114 0.01911 0.0001762 130 640: 100% 69/69 [00:08<00:00, 7.86it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.758 0.539 0.6 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
151/299 7.78G 0.02141 0.01868 0.0002075 107 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.723 0.552 0.62 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
152/299 7.78G 0.02112 0.0186 0.0002259 99 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.656 0.582 0.609 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
153/299 7.78G 0.02137 0.01863 0.0002242 118 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.86it/s]
all 655 3065 0.696 0.541 0.611 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
154/299 7.78G 0.02139 0.01951 0.0001665 175 640: 100% 69/69 [00:08<00:00, 7.81it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.755 0.544 0.625 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
155/299 7.78G 0.02119 0.01848 0.0002482 166 640: 100% 69/69 [00:09<00:00, 7.60it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.711 0.533 0.599 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
156/299 7.78G 0.02078 0.01795 0.0002215 142 640: 100% 69/69 [00:09<00:00, 7.61it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.706 0.531 0.594 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
157/299 7.78G 0.021 0.01865 0.000143 186 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.599 0.616 0.595 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
158/299 7.78G 0.02082 0.01788 0.0001555 149 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.638 0.562 0.569 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
159/299 7.78G 0.02048 0.01822 0.0001919 150 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.604 0.58 0.544 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
160/299 7.78G 0.02045 0.01828 0.0001971 133 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.688 0.556 0.604 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
161/299 7.78G 0.0209 0.0188 0.0002055 116 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.623 0.585 0.579 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
162/299 7.78G 0.02047 0.01804 0.0001989 139 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.63 0.6 0.588 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
163/299 7.78G 0.02095 0.01804 0.0001575 178 640: 100% 69/69 [00:09<00:00, 7.54it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.697 0.536 0.598 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
164/299 7.78G 0.02051 0.01849 0.0001586 175 640: 100% 69/69 [00:08<00:00, 7.85it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.621 0.616 0.601 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
165/299 7.78G 0.02073 0.01832 0.0002062 198 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.731 0.554 0.62 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
166/299 7.78G 0.02055 0.01841 0.0001877 202 640: 100% 69/69 [00:08<00:00, 7.80it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.61 0.601 0.592 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
167/299 7.78G 0.02065 0.01838 0.0001489 138 640: 100% 69/69 [00:08<00:00, 7.81it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.86it/s]
all 655 3065 0.631 0.595 0.595 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
168/299 7.78G 0.02026 0.01753 0.0001529 106 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.695 0.544 0.592 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
169/299 7.78G 0.02041 0.01911 0.0001433 155 640: 100% 69/69 [00:08<00:00, 7.83it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.71it/s]
all 655 3065 0.608 0.612 0.565 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
170/299 7.78G 0.02031 0.01784 0.0001222 174 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.775 0.564 0.623 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
171/299 7.78G 0.02017 0.01787 0.000176 123 640: 100% 69/69 [00:09<00:00, 7.59it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.709 0.575 0.605 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
172/299 7.78G 0.01996 0.01774 0.000124 125 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.714 0.569 0.6 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
173/299 7.78G 0.02025 0.01798 0.0001364 172 640: 100% 69/69 [00:08<00:00, 7.82it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.672 0.571 0.587 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
174/299 7.78G 0.02023 0.01798 0.0001734 180 640: 100% 69/69 [00:08<00:00, 7.83it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.705 0.554 0.608 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
175/299 7.78G 0.02057 0.01759 0.0001614 147 640: 100% 69/69 [00:08<00:00, 7.84it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.608 0.606 0.571 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
176/299 7.78G 0.02047 0.01776 0.0001443 151 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.676 0.554 0.585 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
177/299 7.78G 0.01981 0.01824 0.0001683 128 640: 100% 69/69 [00:08<00:00, 7.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.685 0.524 0.582 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
178/299 7.78G 0.01982 0.01798 0.0001149 100 640: 100% 69/69 [00:09<00:00, 7.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.86it/s]
all 655 3065 0.753 0.511 0.598 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
179/299 7.78G 0.01991 0.01815 0.0001944 175 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.759 0.531 0.627 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
180/299 7.78G 0.02001 0.01734 0.0001605 169 640: 100% 69/69 [00:08<00:00, 7.84it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.639 0.585 0.598 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
181/299 7.78G 0.02011 0.01752 0.0001877 105 640: 100% 69/69 [00:09<00:00, 7.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.714 0.537 0.618 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
182/299 7.78G 0.01991 0.01782 0.00014 167 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.625 0.621 0.613 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
183/299 7.78G 0.01983 0.01733 0.0001271 153 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.646 0.627 0.602 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
184/299 7.78G 0.01917 0.01737 0.0001208 136 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.676 0.559 0.597 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
185/299 7.78G 0.01956 0.01717 0.0001373 141 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.667 0.572 0.587 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
186/299 7.78G 0.01935 0.0178 0.0001321 182 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.624 0.6 0.597 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
187/299 7.78G 0.01961 0.01775 0.0001114 207 640: 100% 69/69 [00:08<00:00, 7.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.631 0.61 0.611 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
188/299 7.78G 0.01975 0.01737 0.000141 119 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.78it/s]
all 655 3065 0.705 0.558 0.617 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
189/299 7.78G 0.01995 0.01746 0.0001542 99 640: 100% 69/69 [00:08<00:00, 7.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.77it/s]
all 655 3065 0.701 0.573 0.609 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
190/299 7.78G 0.01931 0.01744 0.0001498 185 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.633 0.575 0.574 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
191/299 7.78G 0.01919 0.01707 0.0001016 148 640: 100% 69/69 [00:09<00:00, 7.56it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.617 0.62 0.59 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
192/299 7.78G 0.01949 0.01712 0.000109 185 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.704 0.541 0.594 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
193/299 7.78G 0.01935 0.01695 0.0001511 102 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.707 0.538 0.587 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
194/299 7.78G 0.01943 0.01745 0.0001349 132 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.79it/s]
all 655 3065 0.687 0.538 0.587 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
195/299 7.78G 0.01916 0.01676 0.0001111 98 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.75it/s]
all 655 3065 0.707 0.547 0.608 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
196/299 7.78G 0.01899 0.01742 0.0001417 140 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.747 0.547 0.608 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
197/299 7.78G 0.0195 0.01779 0.0001281 90 640: 100% 69/69 [00:09<00:00, 7.63it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.731 0.547 0.608 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
198/299 7.78G 0.01967 0.01693 9.578e-05 195 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.767 0.566 0.638 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
199/299 7.78G 0.01913 0.01734 9.967e-05 137 640: 100% 69/69 [00:08<00:00, 7.78it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.779 0.587 0.645 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
200/299 7.78G 0.01931 0.01662 0.0001202 178 640: 100% 69/69 [00:08<00:00, 7.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.85it/s]
all 655 3065 0.744 0.552 0.622 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
201/299 7.78G 0.01886 0.01722 9.188e-05 125 640: 100% 69/69 [00:08<00:00, 7.74it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.703 0.561 0.62 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
202/299 7.78G 0.01951 0.01794 9.06e-05 156 640: 100% 69/69 [00:08<00:00, 7.79it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.693 0.553 0.615 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
203/299 7.78G 0.01906 0.01683 0.0001002 103 640: 100% 69/69 [00:09<00:00, 7.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.612 0.673 0.616 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
204/299 7.78G 0.01881 0.01704 0.0001095 174 640: 100% 69/69 [00:08<00:00, 7.76it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.83it/s]
all 655 3065 0.635 0.633 0.623 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
205/299 7.78G 0.019 0.01691 0.0001166 179 640: 100% 69/69 [00:08<00:00, 7.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.698 0.563 0.616 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
206/299 7.78G 0.01896 0.0168 0.0001079 146 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.86it/s]
all 655 3065 0.72 0.586 0.636 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
207/299 7.78G 0.01878 0.01667 0.000133 83 640: 100% 69/69 [00:08<00:00, 7.85it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:04<00:00, 2.71it/s]
all 655 3065 0.748 0.591 0.65 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
208/299 7.78G 0.01877 0.01645 0.000128 156 640: 100% 69/69 [00:08<00:00, 7.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.81it/s]
all 655 3065 0.73 0.589 0.647 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
209/299 7.78G 0.01917 0.01744 0.0001068 179 640: 100% 69/69 [00:08<00:00, 7.75it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.82it/s]
all 655 3065 0.719 0.577 0.633 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
210/299 7.78G 0.01867 0.01674 0.0001144 114 640: 100% 69/69 [00:08<00:00, 7.77it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.80it/s]
all 655 3065 0.703 0.569 0.606 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
211/299 7.78G 0.01861 0.01625 0.0001637 145 640: 100% 69/69 [00:09<00:00, 7.65it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:03<00:00, 2.84it/s]
all 655 3065 0.693 0.573 0.608 0.402
Stopping training early as no improvement observed in last 100 epochs. Best results observed at epoch 111, best model saved as best.pt.
To update EarlyStopping(patience=100) pass a new patience value, i.e. `python train.py --patience 300` or use `--patience 0` to disable EarlyStopping.
212 epochs completed in 0.785 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_T2_Tiled_TrainingData/weights/last.pt, 14.5MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_T2_Tiled_TrainingData/weights/best.pt, 14.5MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile24_T2_Tiled_TrainingData/weights/best.pt...
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.87it/s]
all 655 3065 0.717 0.609 0.651 0.432
plane 655 2995 0.962 0.796 0.901 0.661
helicopter 655 70 0.472 0.422 0.4 0.203
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile24_T2_Tiled_TrainingData
Modell 9#
!python train.py --hyp data/hyps/hyp.VOC.yaml --weights /content/drive/MyDrive/dataset/colab_exports/Zeile24_Tiled_TrainingData/weights/best.pt --epochs 200 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile24_FineTune_Tiled_TrainingData --cache
train: weights=/content/drive/MyDrive/dataset/colab_exports/Zeile24_Tiled_TrainingData/weights/best.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.VOC.yaml, epochs=200, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile24_FineTune_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
hyperparameters: lr0=0.00334, lrf=0.15135, momentum=0.74832, weight_decay=0.00025, warmup_epochs=3.3835, warmup_momentum=0.59462, warmup_bias_lr=0.18657, box=0.02, cls=0.21638, cls_pw=0.5, obj=0.51728, obj_pw=0.67198, iou_t=0.2, anchor_t=3.3744, fl_gamma=0.0, hsv_h=0.01041, hsv_s=0.54703, hsv_v=0.27739, degrees=0.0, translate=0.04591, scale=0.75544, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.85834, mixup=0.04266, copy_paste=0.0, anchors=3.412
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...
100% 755k/755k [00:00<00:00, 117MB/s]
Overriding model.yaml anchors with anchors=3.412
from n params module arguments
0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 2 115712 models.common.C3 [128, 128, 2]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 3 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 1182720 models.common.C3 [512, 512, 1]
9 -1 1 656896 models.common.SPPF [512, 512, 5]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 18879 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [128, 256, 512]]
Model summary: 214 layers, 7025023 parameters, 7025023 gradients, 16.0 GFLOPs
Transferred 348/349 items from /content/drive/MyDrive/dataset/colab_exports/Zeile24_Tiled_TrainingData/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00334) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.000234375), 60 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 6 missing, 0 empty, 0 corrupt: 100% 2069/2069 [00:00<?, ?it/s]
train: Caching images (2.5GB ram): 100% 2069/2069 [01:11<00:00, 28.96it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 0 missing, 0 empty, 0 corrupt: 100% 655/655 [00:00<?, ?it/s]
val: Caching images (0.8GB ram): 100% 655/655 [00:13<00:00, 48.16it/s]
AutoAnchor: 0.05 anchors/target, 0.015 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7312: 100% 1000/1000 [00:01<00:00, 711.11it/s]
AutoAnchor: thr=0.30: 0.9607 best possible recall, 4.92 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.362/0.737-mean/best, past_thr=0.522-mean: 33,30, 21,67, 72,22, 47,57, 78,70, 114,116, 167,163, 295,119, 259,268
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile24_FineTune_Tiled_TrainingData/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile24_FineTune_Tiled_TrainingData
Starting training for 200 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/199 6.86G 0.01745 0.01197 0.0002491 284 640: 100% 69/69 [00:26<00:00, 2.61it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.716 0.576 0.592 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/199 8.54G 0.01196 0.01044 0.0001834 145 640: 100% 69/69 [00:23<00:00, 2.97it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.796 0.569 0.625 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/199 8.54G 0.0103 0.009905 0.0001912 340 640: 100% 69/69 [00:23<00:00, 2.97it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.795 0.574 0.637 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/199 8.54G 0.009146 0.00895 0.0002025 297 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.97it/s]
all 655 3065 0.786 0.583 0.648 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/199 8.54G 0.008558 0.008799 0.0001444 296 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.804 0.592 0.652 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/199 8.54G 0.008274 0.008392 0.0001184 148 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.779 0.575 0.644 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/199 8.54G 0.008147 0.00825 0.0001334 178 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.757 0.582 0.633 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/199 8.54G 0.008226 0.008056 0.0001635 254 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.732 0.568 0.602 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/199 8.54G 0.007957 0.007937 9.886e-05 172 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.72 0.577 0.613 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/199 8.54G 0.007827 0.00793 0.0001174 253 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.742 0.58 0.621 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/199 8.54G 0.008075 0.007845 0.000103 180 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.757 0.582 0.633 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/199 8.54G 0.007957 0.007785 8.928e-05 283 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.768 0.591 0.651 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/199 8.54G 0.00793 0.007783 9.756e-05 142 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.748 0.567 0.62 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/199 8.54G 0.007833 0.007688 8.153e-05 242 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.773 0.588 0.647 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/199 8.54G 0.007729 0.007706 8.074e-05 286 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.759 0.58 0.637 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/199 8.54G 0.007824 0.007871 9.13e-05 105 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.8 0.576 0.661 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/199 8.54G 0.007845 0.007751 0.0001299 155 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.78 0.581 0.651 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/199 8.54G 0.007841 0.007369 0.0001088 137 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.8 0.578 0.664 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/199 8.54G 0.007748 0.007683 0.0001063 247 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.797 0.589 0.663 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/199 8.54G 0.00788 0.007801 8.344e-05 112 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.825 0.574 0.666 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/199 8.54G 0.007713 0.007427 0.0001021 314 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.831 0.571 0.666 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/199 8.54G 0.007703 0.007661 8.745e-05 226 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.803 0.584 0.664 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/199 8.54G 0.007789 0.00783 0.0001029 253 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.8 0.572 0.66 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/199 8.54G 0.007742 0.007631 7.474e-05 313 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.829 0.581 0.667 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/199 8.54G 0.007669 0.007378 8.181e-05 186 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.812 0.581 0.662 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/199 8.54G 0.007734 0.007354 7.379e-05 241 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.834 0.598 0.674 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/199 8.54G 0.007696 0.00707 9.424e-05 220 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.819 0.591 0.665 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/199 8.54G 0.007602 0.00714 8.492e-05 216 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.818 0.593 0.67 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/199 8.54G 0.007653 0.00722 8.913e-05 117 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.825 0.589 0.669 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/199 8.54G 0.007703 0.007422 6.295e-05 207 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.818 0.573 0.658 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/199 8.54G 0.007618 0.00719 0.0001275 168 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.838 0.596 0.674 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/199 8.54G 0.007599 0.007501 0.0001029 229 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.837 0.59 0.669 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/199 8.54G 0.007436 0.007221 9.039e-05 265 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.821 0.598 0.669 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/199 8.54G 0.007587 0.007082 0.0001017 150 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.98it/s]
all 655 3065 0.827 0.586 0.666 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/199 8.54G 0.00763 0.007145 5.549e-05 135 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.845 0.59 0.661 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/199 8.54G 0.007524 0.007232 7.143e-05 204 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.832 0.585 0.663 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/199 8.54G 0.00755 0.007176 8.022e-05 156 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.841 0.596 0.674 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/199 8.54G 0.007323 0.007114 8.627e-05 135 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.837 0.596 0.673 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/199 8.54G 0.007459 0.007321 7.159e-05 202 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.83 0.592 0.67 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/199 8.54G 0.007529 0.006952 7.754e-05 229 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.823 0.589 0.648 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/199 8.54G 0.007586 0.007512 6.651e-05 221 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.843 0.599 0.668 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/199 8.54G 0.007509 0.00727 6.63e-05 199 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.846 0.597 0.669 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/199 8.54G 0.007476 0.007216 7.504e-05 194 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.861 0.593 0.676 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/199 8.54G 0.007562 0.007151 8.327e-05 236 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.842 0.596 0.671 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/199 8.54G 0.007458 0.007447 6.407e-05 147 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.848 0.588 0.665 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/199 8.54G 0.007468 0.007083 9.844e-05 251 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.821 0.586 0.665 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/199 8.54G 0.007506 0.00725 8.582e-05 207 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.831 0.591 0.664 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/199 8.54G 0.007479 0.007273 7.469e-05 236 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.842 0.585 0.665 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/199 8.54G 0.007426 0.007303 8.034e-05 116 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.853 0.598 0.67 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/199 8.54G 0.007458 0.007524 7.368e-05 273 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.847 0.577 0.659 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/199 8.54G 0.007538 0.007093 8.437e-05 185 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.865 0.574 0.667 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/199 8.54G 0.007435 0.007133 7.033e-05 209 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.856 0.572 0.666 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/199 8.54G 0.007473 0.007154 8.294e-05 240 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.881 0.571 0.667 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/199 8.54G 0.007191 0.007113 5.359e-05 118 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.854 0.573 0.664 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/199 8.54G 0.007235 0.006994 5.986e-05 297 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.864 0.588 0.667 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/199 8.54G 0.007357 0.007082 6.384e-05 212 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.98it/s]
all 655 3065 0.878 0.571 0.664 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/199 8.54G 0.007436 0.007157 6.942e-05 201 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.864 0.563 0.656 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/199 8.54G 0.007501 0.006965 5.947e-05 161 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.869 0.578 0.67 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/199 8.54G 0.007304 0.007158 5.675e-05 130 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.872 0.571 0.673 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/199 8.54G 0.007441 0.007092 5.574e-05 196 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.876 0.57 0.669 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/199 8.54G 0.007347 0.007285 0.0001124 220 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.882 0.573 0.673 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/199 8.54G 0.007371 0.007173 6.01e-05 167 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.881 0.577 0.674 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/199 8.54G 0.007313 0.007163 7.098e-05 193 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.882 0.578 0.672 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/199 8.54G 0.007423 0.007048 0.0001086 296 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.87 0.572 0.67 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/199 8.54G 0.007468 0.006948 5.476e-05 170 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.879 0.585 0.674 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/199 8.54G 0.007364 0.00706 6.293e-05 176 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.882 0.579 0.675 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/199 8.54G 0.007466 0.007092 5.808e-05 187 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.873 0.564 0.664 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/199 8.54G 0.00741 0.007034 6.265e-05 265 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.884 0.57 0.672 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/199 8.54G 0.007312 0.006842 5.023e-05 121 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.892 0.562 0.666 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/199 8.54G 0.007396 0.006936 7.927e-05 175 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.897 0.567 0.666 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/199 8.54G 0.00737 0.007122 5.577e-05 271 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.912 0.559 0.668 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/199 8.54G 0.007353 0.006771 7.238e-05 159 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.886 0.576 0.672 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/199 8.54G 0.007317 0.00714 5.946e-05 178 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.874 0.559 0.666 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/199 8.54G 0.007351 0.006842 9.449e-05 192 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.88 0.56 0.66 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/199 8.54G 0.00736 0.007108 7.253e-05 209 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.878 0.552 0.653 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/199 8.54G 0.007458 0.007117 5.387e-05 222 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.897 0.564 0.674 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/199 8.54G 0.007147 0.006853 4.589e-05 150 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.98it/s]
all 655 3065 0.877 0.566 0.658 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/199 8.54G 0.007244 0.006997 5.382e-05 169 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.897 0.565 0.674 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/199 8.54G 0.007374 0.007011 6.566e-05 190 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.872 0.569 0.674 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/199 8.54G 0.007378 0.007156 5.043e-05 199 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.886 0.567 0.659 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/199 8.54G 0.007328 0.007034 5.826e-05 87 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.87 0.561 0.66 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/199 8.54G 0.007192 0.006833 6.249e-05 203 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.87 0.56 0.657 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/199 8.54G 0.007642 0.007379 0.0001038 191 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.885 0.567 0.673 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/199 8.54G 0.00741 0.007074 0.0001188 206 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.867 0.576 0.672 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/199 8.54G 0.007277 0.007021 8.273e-05 195 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.885 0.567 0.663 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/199 8.54G 0.00722 0.006976 5.606e-05 181 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.862 0.56 0.659 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/199 8.54G 0.007289 0.006882 3.782e-05 160 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.892 0.563 0.66 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/199 8.54G 0.007137 0.007148 5.304e-05 109 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.863 0.564 0.659 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/199 8.54G 0.007223 0.007182 5.087e-05 156 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.856 0.564 0.658 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/199 8.54G 0.00721 0.007168 4.394e-05 380 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.865 0.561 0.645 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/199 8.54G 0.007225 0.007108 5.719e-05 218 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.861 0.555 0.66 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/199 8.54G 0.007264 0.006933 8.116e-05 172 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.9 0.575 0.673 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/199 8.54G 0.007364 0.007 4.844e-05 182 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.865 0.561 0.658 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/199 8.54G 0.007146 0.006945 4.537e-05 211 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.881 0.558 0.66 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/199 8.54G 0.007218 0.007056 5.419e-05 150 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.911 0.559 0.67 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/199 8.54G 0.007236 0.007194 6.523e-05 190 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.913 0.574 0.673 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/199 8.54G 0.007171 0.006901 6.285e-05 144 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.89 0.567 0.66 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/199 8.54G 0.007254 0.006872 5.337e-05 172 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.886 0.553 0.661 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/199 8.54G 0.007295 0.007014 6.874e-05 298 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.917 0.557 0.668 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/199 8.54G 0.007181 0.007363 7.462e-05 173 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.895 0.557 0.663 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/199 8.54G 0.007237 0.006973 5.496e-05 273 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.89 0.563 0.661 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/199 8.54G 0.007119 0.006805 5.931e-05 168 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.88 0.556 0.66 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/199 8.54G 0.007178 0.006909 7.815e-05 140 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.97it/s]
all 655 3065 0.889 0.555 0.66 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/199 8.54G 0.007257 0.007236 5.633e-05 218 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.919 0.556 0.662 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/199 8.54G 0.007241 0.007136 7.012e-05 218 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.867 0.551 0.655 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/199 8.54G 0.007172 0.007281 5.92e-05 192 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.866 0.556 0.653 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/199 8.54G 0.007199 0.006843 6.048e-05 232 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.853 0.548 0.637 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/199 8.54G 0.007226 0.006692 6.762e-05 120 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.866 0.554 0.656 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/199 8.54G 0.007077 0.006869 5.382e-05 155 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.876 0.556 0.656 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/199 8.54G 0.007232 0.007007 5.827e-05 240 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.892 0.558 0.667 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/199 8.54G 0.007191 0.007027 4.258e-05 148 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.889 0.55 0.655 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/199 8.54G 0.00718 0.007118 6.034e-05 246 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.876 0.553 0.658 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/199 8.54G 0.007158 0.00668 4.846e-05 174 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.887 0.558 0.669 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/199 8.54G 0.007186 0.007021 4.848e-05 176 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.875 0.55 0.653 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/199 8.54G 0.007222 0.006761 6.517e-05 135 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.865 0.551 0.654 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/199 8.54G 0.00723 0.00712 6.739e-05 212 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.862 0.549 0.654 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/199 8.54G 0.007109 0.006609 4.57e-05 236 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.856 0.557 0.654 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/199 8.54G 0.007181 0.006816 5.361e-05 151 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.86 0.551 0.653 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/199 8.54G 0.007144 0.006743 4.411e-05 277 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.865 0.558 0.657 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/199 8.54G 0.007188 0.006873 4.932e-05 178 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.864 0.553 0.658 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/199 8.54G 0.007111 0.006859 6.981e-05 234 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.871 0.556 0.67 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/199 8.54G 0.007097 0.006761 4.749e-05 174 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.873 0.548 0.655 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/199 8.54G 0.007057 0.007088 4.907e-05 187 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.858 0.551 0.656 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/199 8.54G 0.007333 0.006778 7.988e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.892 0.55 0.66 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/199 8.54G 0.006977 0.006735 4.731e-05 198 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.857 0.55 0.66 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/199 8.54G 0.007212 0.00694 5.634e-05 210 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.876 0.549 0.658 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/199 8.54G 0.007099 0.006826 7.677e-05 160 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.85 0.551 0.659 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/199 8.54G 0.007158 0.006932 5.921e-05 143 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.852 0.55 0.659 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/199 8.54G 0.007219 0.007363 5.006e-05 156 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.858 0.55 0.658 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/199 8.54G 0.007048 0.006885 4.701e-05 180 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.886 0.557 0.67 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/199 8.54G 0.00718 0.007093 6.584e-05 192 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.892 0.55 0.658 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/199 8.54G 0.007137 0.007105 7.385e-05 207 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.874 0.548 0.656 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/199 8.54G 0.007162 0.006844 6.926e-05 149 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.883 0.549 0.657 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/199 8.54G 0.007131 0.006803 6.94e-05 172 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.88 0.549 0.657 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/199 8.54G 0.007059 0.00668 5.577e-05 160 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.905 0.548 0.656 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/199 8.54G 0.007115 0.006814 5.422e-05 202 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.902 0.548 0.659 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/199 8.54G 0.007236 0.007182 6.517e-05 168 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.914 0.549 0.657 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/199 8.54G 0.007251 0.006896 5.176e-05 151 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.903 0.549 0.657 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/199 8.54G 0.007123 0.006867 4.644e-05 149 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.897 0.549 0.659 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/199 8.54G 0.007123 0.006717 4.215e-05 309 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.932 0.547 0.658 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/199 8.54G 0.007078 0.006835 4.622e-05 148 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.918 0.547 0.657 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/199 8.54G 0.007033 0.006897 4.446e-05 206 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.97it/s]
all 655 3065 0.901 0.549 0.657 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/199 8.54G 0.007169 0.006721 6.133e-05 154 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.906 0.548 0.656 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/199 8.54G 0.007179 0.00678 9.011e-05 165 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.901 0.546 0.657 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/199 8.54G 0.007165 0.006877 5.161e-05 176 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.922 0.546 0.659 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/199 8.54G 0.007258 0.006702 4.936e-05 127 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.912 0.548 0.659 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/199 8.54G 0.007041 0.007007 6.79e-05 213 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.883 0.55 0.659 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/199 8.54G 0.007132 0.00662 5.508e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.888 0.551 0.658 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/199 8.54G 0.007105 0.006767 4.664e-05 200 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.92 0.55 0.659 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/199 8.54G 0.006903 0.006824 4.56e-05 190 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.913 0.549 0.658 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
150/199 8.54G 0.007111 0.006846 6.16e-05 197 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.898 0.549 0.658 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
151/199 8.54G 0.007151 0.006965 5.9e-05 234 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.905 0.548 0.658 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
152/199 8.54G 0.00698 0.007037 4.198e-05 138 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.877 0.548 0.655 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
153/199 8.54G 0.007136 0.006888 7.236e-05 202 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.901 0.549 0.659 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
154/199 8.54G 0.006898 0.006837 6.119e-05 198 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.898 0.549 0.655 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
155/199 8.54G 0.007094 0.007004 9.006e-05 205 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.907 0.548 0.657 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
156/199 8.54G 0.007014 0.00674 6.322e-05 165 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.864 0.548 0.659 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
157/199 8.54G 0.007244 0.006973 4.299e-05 196 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.88 0.548 0.66 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
158/199 8.54G 0.006936 0.006777 5.292e-05 221 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.864 0.549 0.659 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
159/199 8.54G 0.00703 0.00692 5.325e-05 151 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.867 0.548 0.658 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
160/199 8.54G 0.007124 0.006789 7.102e-05 178 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.877 0.548 0.658 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
161/199 8.54G 0.007036 0.006964 4.656e-05 184 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.86 0.55 0.659 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
162/199 8.54G 0.007159 0.006764 5.073e-05 282 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.861 0.549 0.657 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
163/199 8.54G 0.007006 0.006737 4.832e-05 157 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.874 0.549 0.658 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
164/199 8.54G 0.006982 0.006607 0.0001223 190 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.883 0.558 0.66 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
165/199 8.54G 0.007075 0.006701 7.806e-05 183 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.892 0.552 0.659 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
166/199 8.54G 0.007111 0.006728 5.75e-05 244 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.887 0.553 0.659 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
167/199 8.54G 0.007091 0.007 8.169e-05 146 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.88 0.559 0.661 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
168/199 8.54G 0.007228 0.006815 6.317e-05 155 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.897 0.558 0.661 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
169/199 8.54G 0.007273 0.0068 6.5e-05 171 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.894 0.558 0.663 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
170/199 8.54G 0.007085 0.006664 7.84e-05 177 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.876 0.558 0.66 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
171/199 8.54G 0.006922 0.006979 5.984e-05 118 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.887 0.558 0.658 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
172/199 8.54G 0.006922 0.006682 5.454e-05 230 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.891 0.557 0.658 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
173/199 8.54G 0.007121 0.006761 5.757e-05 159 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.893 0.558 0.658 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
174/199 8.54G 0.006787 0.006485 4.008e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.86 0.558 0.659 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
175/199 8.54G 0.007139 0.007054 6.914e-05 325 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.871 0.559 0.669 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
176/199 8.54G 0.007026 0.006808 4.074e-05 169 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.906 0.558 0.669 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
177/199 8.54G 0.007083 0.006992 5.408e-05 211 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.878 0.559 0.668 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
178/199 8.54G 0.007182 0.006807 4.242e-05 203 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.856 0.559 0.658 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
179/199 8.54G 0.007029 0.006851 8.08e-05 179 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.856 0.56 0.657 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
180/199 8.54G 0.006995 0.00689 5.612e-05 174 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.895 0.558 0.659 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
181/199 8.54G 0.006986 0.006777 4.442e-05 226 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.879 0.559 0.658 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
182/199 8.54G 0.007069 0.007102 6.197e-05 140 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.883 0.558 0.658 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
183/199 8.54G 0.007161 0.006931 9.236e-05 291 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.869 0.551 0.656 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
184/199 8.54G 0.007081 0.006783 6.342e-05 137 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.87 0.551 0.653 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
185/199 8.54G 0.007016 0.007038 6.916e-05 176 640: 100% 69/69 [00:23<00:00, 2.94it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.858 0.551 0.654 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
186/199 8.54G 0.006976 0.006675 8.607e-05 134 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.858 0.55 0.655 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
187/199 8.54G 0.006948 0.006648 6.958e-05 188 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.872 0.55 0.655 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
188/199 8.54G 0.007018 0.00663 5.36e-05 165 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.856 0.55 0.654 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
189/199 8.54G 0.007084 0.006791 5.943e-05 209 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.841 0.551 0.654 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
190/199 8.54G 0.006956 0.006569 6.971e-05 210 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.841 0.551 0.653 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
191/199 8.54G 0.007111 0.006904 6.185e-05 214 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.849 0.551 0.654 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
192/199 8.54G 0.007072 0.006962 4.892e-05 219 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.878 0.551 0.654 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
193/199 8.54G 0.007003 0.006805 5.941e-05 169 640: 100% 69/69 [00:23<00:00, 2.94it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.907 0.557 0.667 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
194/199 8.54G 0.006988 0.00685 5.815e-05 155 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.907 0.557 0.665 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
195/199 8.54G 0.007013 0.006539 5.716e-05 228 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.875 0.55 0.655 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
196/199 8.54G 0.007189 0.006857 3.677e-05 162 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.866 0.55 0.655 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
197/199 8.54G 0.006917 0.006925 4.65e-05 233 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.857 0.551 0.654 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
198/199 8.54G 0.006884 0.006681 3.629e-05 149 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.864 0.551 0.654 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
199/199 8.54G 0.00713 0.006786 5.505e-05 169 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.866 0.551 0.654 0.429
200 epochs completed in 1.637 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_FineTune_Tiled_TrainingData/weights/last.pt, 14.5MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_FineTune_Tiled_TrainingData/weights/best.pt, 14.5MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile24_FineTune_Tiled_TrainingData/weights/best.pt...
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:07<00:00, 1.51it/s]
all 655 3065 0.869 0.556 0.67 0.435
plane 655 2995 0.977 0.756 0.906 0.679
helicopter 655 70 0.762 0.357 0.433 0.191
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile24_FineTune_Tiled_TrainingData
Modell 10#
!python train.py --freeze 10 --weights yolov5s.pt --epochs 300 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile24_Freeze_Tiled_TrainingData --cache
train: weights=yolov5s.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=300, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile24_Freeze_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[10], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
Downloading https://github.com/ultralytics/yolov5/releases/download/v6.2/yolov5s.pt to yolov5s.pt...
100% 14.1M/14.1M [00:03<00:00, 3.99MB/s]
Overriding model.yaml nc=80 with nc=2
from n params module arguments
0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 2 115712 models.common.C3 [128, 128, 2]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 3 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 1182720 models.common.C3 [512, 512, 1]
9 -1 1 656896 models.common.SPPF [512, 512, 5]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 18879 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
Model summary: 214 layers, 7025023 parameters, 7025023 gradients, 16.0 GFLOPs
Transferred 343/349 items from yolov5s.pt
AMP: checks passed ✅
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optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.00046875), 60 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 6 missing, 0 empty, 0 corrupt: 100% 2069/2069 [00:00<?, ?it/s]
train: Caching images (2.5GB ram): 100% 2069/2069 [00:06<00:00, 308.91it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 0 missing, 0 empty, 0 corrupt: 100% 655/655 [00:00<?, ?it/s]
val: Caching images (0.8GB ram): 100% 655/655 [00:03<00:00, 216.69it/s]
AutoAnchor: 5.22 anchors/target, 0.974 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7339: 100% 1000/1000 [00:01<00:00, 546.36it/s]
AutoAnchor: thr=0.25: 0.9692 best possible recall, 5.64 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.361/0.738-mean/best, past_thr=0.490-mean: 33,30, 20,68, 72,21, 47,57, 78,69, 106,116, 156,149, 328,122, 241,248
AutoAnchor: Done ⚠️ (original anchors better than new anchors, proceeding with original anchors)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData
Starting training for 300 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/299 2.37G 0.09336 0.05004 0.01557 144 640: 100% 69/69 [00:15<00:00, 4.60it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:06<00:00, 1.58it/s]
all 655 3065 0.682 0.193 0.125 0.0425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/299 4.05G 0.06894 0.04037 0.006154 183 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.93it/s]
all 655 3065 0.708 0.222 0.182 0.0715
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/299 4.05G 0.06481 0.03826 0.005397 190 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.97it/s]
all 655 3065 0.383 0.426 0.309 0.111
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/299 4.05G 0.0559 0.03446 0.003775 171 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.359 0.367 0.318 0.151
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/299 4.05G 0.05094 0.03574 0.003308 158 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.498 0.386 0.38 0.194
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/299 4.05G 0.04631 0.03283 0.002342 231 640: 100% 69/69 [00:12<00:00, 5.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.473 0.428 0.407 0.213
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/299 4.05G 0.04421 0.03173 0.002349 156 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.593 0.442 0.443 0.235
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/299 4.05G 0.04251 0.0331 0.002167 216 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.61 0.434 0.439 0.241
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/299 4.05G 0.04124 0.0304 0.00177 165 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.546 0.406 0.446 0.258
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/299 4.05G 0.04069 0.03115 0.001783 208 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.574 0.424 0.444 0.247
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/299 4.05G 0.03973 0.03104 0.001731 209 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.5 0.43 0.431 0.252
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/299 4.05G 0.03936 0.03117 0.001545 172 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.571 0.407 0.438 0.258
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/299 4.05G 0.03891 0.0313 0.001533 268 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.585 0.455 0.477 0.282
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/299 4.05G 0.03836 0.03012 0.001451 200 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.595 0.493 0.482 0.291
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/299 4.05G 0.03725 0.02967 0.001269 210 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.508 0.502 0.469 0.267
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/299 4.05G 0.03793 0.02996 0.00111 110 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.528 0.51 0.478 0.293
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/299 4.05G 0.03697 0.03001 0.001256 206 640: 100% 69/69 [00:12<00:00, 5.33it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.56 0.458 0.482 0.286
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/299 4.05G 0.03624 0.02924 0.001178 200 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.557 0.452 0.457 0.28
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/299 4.05G 0.03652 0.02915 0.00103 186 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.564 0.534 0.478 0.282
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/299 4.05G 0.03548 0.02874 0.001056 210 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.591 0.504 0.506 0.298
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/299 4.05G 0.03496 0.02827 0.001031 220 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.675 0.484 0.522 0.289
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/299 4.05G 0.03541 0.02833 0.00108 233 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.597 0.51 0.504 0.311
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/299 4.05G 0.03512 0.02886 0.001026 127 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.546 0.561 0.489 0.297
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/299 4.05G 0.03534 0.0281 0.0008441 183 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.552 0.528 0.5 0.307
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/299 4.05G 0.03438 0.02857 0.0009411 204 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.644 0.507 0.52 0.302
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/299 4.05G 0.03425 0.02884 0.0008663 197 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.607 0.511 0.51 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/299 4.05G 0.03413 0.0277 0.0008159 176 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.581 0.537 0.534 0.316
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/299 4.05G 0.0337 0.02848 0.0008368 127 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.692 0.468 0.537 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/299 4.05G 0.03398 0.02805 0.0008852 152 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.61 0.478 0.489 0.303
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/299 4.05G 0.03333 0.02786 0.0008085 187 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.672 0.494 0.52 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/299 4.05G 0.03372 0.02705 0.0008955 120 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.618 0.458 0.48 0.301
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/299 4.05G 0.03347 0.02782 0.0007779 147 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.606 0.568 0.552 0.323
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/299 4.05G 0.03365 0.02669 0.0007771 190 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.606 0.516 0.5 0.31
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/299 4.05G 0.03294 0.02761 0.0007009 204 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.562 0.514 0.487 0.303
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/299 4.05G 0.03283 0.02748 0.0007821 248 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.542 0.523 0.503 0.303
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/299 4.05G 0.03269 0.02806 0.0008193 178 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.589 0.498 0.502 0.313
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/299 4.05G 0.03313 0.02754 0.0008316 128 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.602 0.506 0.507 0.309
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/299 4.05G 0.03252 0.02651 0.0006884 132 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.592 0.5 0.515 0.31
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/299 4.05G 0.03248 0.02705 0.0006439 181 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.611 0.546 0.539 0.32
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/299 4.05G 0.03259 0.02671 0.0007216 245 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.566 0.548 0.515 0.328
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/299 4.05G 0.03223 0.02591 0.0007264 211 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.589 0.526 0.493 0.309
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/299 4.05G 0.03217 0.02693 0.0006181 271 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.59 0.543 0.554 0.348
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/299 4.05G 0.03223 0.02681 0.0005651 127 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.591 0.5 0.483 0.3
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/299 4.05G 0.03213 0.02726 0.0005899 233 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.635 0.514 0.539 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/299 4.05G 0.0322 0.02703 0.0006258 186 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.625 0.464 0.511 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/299 4.05G 0.03177 0.02631 0.0005468 184 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.566 0.516 0.52 0.321
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/299 4.05G 0.03145 0.02587 0.0005829 223 640: 100% 69/69 [00:12<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.588 0.518 0.531 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/299 4.05G 0.03161 0.02677 0.0004564 235 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.561 0.554 0.536 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/299 4.05G 0.03156 0.02603 0.0006683 154 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.567 0.535 0.513 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/299 4.05G 0.03157 0.02663 0.0005289 178 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.559 0.578 0.539 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/299 4.05G 0.03092 0.02709 0.0005315 230 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.576 0.532 0.488 0.316
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/299 4.05G 0.03143 0.02681 0.0005064 219 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.56 0.541 0.488 0.311
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/299 4.05G 0.03124 0.02683 0.0005489 237 640: 100% 69/69 [00:12<00:00, 5.38it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.586 0.542 0.536 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/299 4.05G 0.03027 0.02628 0.0004215 197 640: 100% 69/69 [00:12<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.565 0.531 0.484 0.31
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/299 4.05G 0.03142 0.02656 0.0004915 138 640: 100% 69/69 [00:12<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.588 0.478 0.485 0.311
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/299 4.05G 0.03042 0.02581 0.000443 152 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.642 0.528 0.525 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/299 4.05G 0.03079 0.02633 0.000483 148 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.582 0.575 0.511 0.32
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/299 4.05G 0.03043 0.02582 0.0004106 183 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.601 0.506 0.495 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/299 4.05G 0.03081 0.026 0.0006003 144 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.643 0.487 0.51 0.314
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/299 4.05G 0.0309 0.02597 0.0005193 231 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.573 0.518 0.495 0.318
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/299 4.05G 0.03056 0.02619 0.000583 209 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.616 0.497 0.505 0.324
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/299 4.05G 0.03102 0.02558 0.0005399 159 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.612 0.483 0.495 0.317
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/299 4.05G 0.0301 0.02464 0.0004825 101 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.609 0.474 0.503 0.32
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/299 4.05G 0.03053 0.02558 0.0005276 183 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.551 0.604 0.485 0.311
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/299 4.05G 0.03029 0.02529 0.0004347 184 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.65 0.486 0.53 0.336
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/299 4.05G 0.03 0.02592 0.0003857 175 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.61 0.498 0.502 0.318
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/299 4.05G 0.03011 0.02491 0.0004307 187 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.686 0.479 0.528 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/299 4.05G 0.02975 0.02571 0.0003303 159 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.617 0.497 0.498 0.325
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/299 4.05G 0.02987 0.02526 0.0004656 145 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.605 0.504 0.493 0.317
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/299 4.05G 0.03001 0.02512 0.0004226 208 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.66 0.496 0.508 0.32
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/299 4.05G 0.03022 0.02558 0.0003815 247 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.62 0.482 0.511 0.326
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/299 4.05G 0.02956 0.02575 0.0003718 152 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.607 0.516 0.513 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/299 4.05G 0.03007 0.026 0.0004929 197 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.574 0.551 0.498 0.317
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/299 4.05G 0.02967 0.02536 0.0004503 189 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.616 0.503 0.51 0.325
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/299 4.05G 0.02987 0.02509 0.0004632 159 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.644 0.528 0.561 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/299 4.05G 0.02964 0.02518 0.0004927 190 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.575 0.572 0.516 0.317
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/299 4.05G 0.0297 0.02507 0.0003265 203 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.573 0.563 0.498 0.315
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/299 4.05G 0.02937 0.02576 0.0004035 206 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.575 0.536 0.509 0.324
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/299 4.05G 0.02959 0.02593 0.0003793 181 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.533 0.536 0.493 0.316
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/299 4.05G 0.02927 0.02381 0.0004653 149 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.544 0.574 0.496 0.321
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/299 4.05G 0.02955 0.02555 0.0003118 174 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.554 0.545 0.502 0.319
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/299 4.05G 0.02953 0.02491 0.000453 239 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.581 0.529 0.521 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/299 4.05G 0.02926 0.02563 0.0002722 171 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.618 0.475 0.492 0.325
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/299 4.05G 0.02921 0.02512 0.0004859 196 640: 100% 69/69 [00:12<00:00, 5.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.577 0.55 0.487 0.316
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/299 4.05G 0.02927 0.02524 0.0004016 244 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.609 0.521 0.496 0.316
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/299 4.05G 0.02908 0.02584 0.000482 168 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.622 0.469 0.509 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/299 4.05G 0.02937 0.02592 0.0004207 251 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.552 0.524 0.502 0.325
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/299 4.05G 0.02851 0.02587 0.0003974 209 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.557 0.502 0.469 0.308
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/299 4.05G 0.02918 0.02507 0.0004232 152 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.595 0.493 0.492 0.325
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/299 4.05G 0.02906 0.02528 0.0004194 179 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.597 0.492 0.492 0.321
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/299 4.05G 0.02863 0.02447 0.0004101 189 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.565 0.523 0.496 0.327
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/299 4.05G 0.02885 0.02414 0.0003616 180 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.645 0.533 0.551 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/299 4.05G 0.02887 0.02442 0.0003691 151 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.552 0.572 0.517 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/299 4.05G 0.02835 0.02468 0.0004078 202 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.609 0.485 0.507 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/299 4.05G 0.02837 0.02462 0.000312 156 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.674 0.466 0.524 0.343
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/299 4.05G 0.02861 0.02474 0.0003114 200 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.559 0.533 0.515 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/299 4.05G 0.02886 0.02543 0.0003465 174 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.597 0.56 0.542 0.356
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/299 4.05G 0.02848 0.02427 0.000534 178 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.607 0.552 0.543 0.347
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/299 4.05G 0.02845 0.02542 0.0003762 191 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.535 0.556 0.5 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/299 4.05G 0.02847 0.02473 0.0003554 163 640: 100% 69/69 [00:12<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.576 0.517 0.513 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/299 4.05G 0.0283 0.02474 0.0003241 154 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.653 0.514 0.531 0.34
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/299 4.05G 0.0287 0.02455 0.0002494 178 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.609 0.543 0.511 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/299 4.05G 0.02805 0.02363 0.0003623 170 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.593 0.542 0.531 0.349
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/299 4.05G 0.02774 0.02418 0.0003334 184 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.588 0.519 0.519 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/299 4.05G 0.02824 0.02434 0.0003011 303 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.567 0.542 0.48 0.315
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/299 4.05G 0.02807 0.02513 0.0003753 219 640: 100% 69/69 [00:12<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.557 0.534 0.497 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/299 4.05G 0.02778 0.02504 0.0003396 146 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.563 0.526 0.494 0.327
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/299 4.05G 0.02813 0.02469 0.0002485 145 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.558 0.524 0.505 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/299 4.05G 0.02837 0.0243 0.0003334 143 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.535 0.554 0.497 0.326
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/299 4.05G 0.02805 0.02393 0.0002755 219 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.582 0.526 0.502 0.328
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/299 4.05G 0.02776 0.02452 0.0003225 167 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.613 0.495 0.515 0.341
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/299 4.05G 0.02807 0.02479 0.0003796 321 640: 100% 69/69 [00:12<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.612 0.5 0.523 0.339
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/299 4.05G 0.02823 0.02379 0.0003424 210 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.626 0.487 0.508 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/299 4.05G 0.02769 0.02505 0.0002782 154 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.631 0.476 0.505 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/299 4.05G 0.0279 0.02376 0.0002879 120 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.612 0.511 0.512 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/299 4.05G 0.02781 0.02425 0.0003642 205 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.526 0.571 0.489 0.323
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/299 4.05G 0.02752 0.02367 0.0004266 130 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.548 0.538 0.499 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/299 4.05G 0.02779 0.02459 0.0002688 148 640: 100% 69/69 [00:12<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.568 0.525 0.501 0.324
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/299 4.05G 0.02765 0.02481 0.0003233 192 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.563 0.523 0.508 0.321
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/299 4.05G 0.02764 0.02391 0.0002904 193 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.577 0.55 0.521 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/299 4.05G 0.02752 0.02323 0.000423 150 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.606 0.475 0.496 0.326
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/299 4.05G 0.02743 0.02442 0.0003309 163 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.603 0.534 0.528 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/299 4.05G 0.0276 0.02419 0.0003163 158 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.677 0.446 0.509 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/299 4.05G 0.02735 0.02427 0.0002942 201 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.607 0.538 0.515 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/299 4.05G 0.02754 0.02467 0.0002865 240 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.554 0.555 0.502 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/299 4.05G 0.02728 0.02418 0.0003712 265 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.576 0.518 0.494 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/299 4.05G 0.02724 0.02339 0.0003508 275 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.594 0.526 0.514 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/299 4.05G 0.02762 0.02453 0.0002917 150 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.601 0.534 0.502 0.328
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/299 4.05G 0.02777 0.02445 0.0003239 136 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.09it/s]
all 655 3065 0.592 0.497 0.502 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/299 4.05G 0.02733 0.02386 0.0003249 128 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.574 0.541 0.518 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/299 4.05G 0.02725 0.02339 0.0004863 125 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.57 0.534 0.51 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/299 4.05G 0.02754 0.02405 0.0003132 208 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.555 0.535 0.5 0.326
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/299 4.05G 0.02735 0.02389 0.0002646 198 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.596 0.522 0.518 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/299 4.05G 0.02748 0.02382 0.0003883 223 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.601 0.588 0.541 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/299 4.05G 0.02665 0.02284 0.000257 236 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.591 0.532 0.508 0.336
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/299 4.05G 0.02696 0.02401 0.0003311 159 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.09it/s]
all 655 3065 0.571 0.518 0.495 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/299 4.05G 0.02697 0.02403 0.0002453 252 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.678 0.479 0.512 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/299 4.05G 0.02757 0.02386 0.0002771 191 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.661 0.473 0.519 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/299 4.05G 0.02716 0.02331 0.0003451 157 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.565 0.563 0.51 0.327
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/299 4.05G 0.02735 0.02443 0.0002359 157 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.6 0.554 0.512 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/299 4.05G 0.02664 0.02409 0.0003536 145 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.599 0.548 0.508 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/299 4.05G 0.02694 0.02374 0.0002579 184 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.586 0.566 0.528 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/299 4.05G 0.0273 0.02347 0.0003153 146 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.561 0.589 0.512 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/299 4.05G 0.02681 0.02318 0.0002683 220 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.551 0.553 0.521 0.341
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/299 4.05G 0.02673 0.02332 0.0003246 173 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.577 0.553 0.529 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/299 4.05G 0.02705 0.02375 0.0002676 149 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.6 0.534 0.538 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/299 4.05G 0.02655 0.02371 0.0002286 136 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.09it/s]
all 655 3065 0.565 0.56 0.515 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/299 4.05G 0.02677 0.02371 0.000338 262 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.58 0.552 0.505 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/299 4.05G 0.02651 0.02405 0.0002633 181 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.09it/s]
all 655 3065 0.574 0.544 0.513 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/299 4.05G 0.02664 0.02359 0.0003104 153 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.584 0.565 0.521 0.34
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
150/299 4.05G 0.02664 0.02413 0.0003249 158 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.556 0.573 0.515 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
151/299 4.05G 0.02686 0.02336 0.0002758 148 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.557 0.546 0.522 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
152/299 4.05G 0.027 0.02358 0.0002598 249 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.562 0.562 0.509 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
153/299 4.05G 0.0264 0.02358 0.0003387 185 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.592 0.546 0.517 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
154/299 4.05G 0.02658 0.02384 0.0003017 152 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.587 0.541 0.513 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
155/299 4.05G 0.02666 0.02378 0.0002089 197 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.582 0.543 0.507 0.328
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
156/299 4.05G 0.0268 0.02353 0.0003008 189 640: 100% 69/69 [00:12<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.59 0.55 0.51 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
157/299 4.05G 0.02634 0.02293 0.0002311 147 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.623 0.575 0.529 0.336
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
158/299 4.05G 0.02607 0.0237 0.0002722 159 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.591 0.562 0.533 0.343
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
159/299 4.05G 0.02663 0.02344 0.0003137 168 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.586 0.575 0.529 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
160/299 4.05G 0.02645 0.02361 0.0002378 203 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.598 0.572 0.546 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
161/299 4.05G 0.02645 0.02391 0.0003476 153 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.59 0.555 0.524 0.34
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
162/299 4.05G 0.027 0.02312 0.0002293 300 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.597 0.538 0.539 0.348
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
163/299 4.05G 0.02611 0.02287 0.0003578 211 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.584 0.541 0.515 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
164/299 4.05G 0.02628 0.0233 0.0002549 160 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.571 0.535 0.514 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
165/299 4.05G 0.02645 0.02342 0.0003444 181 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.597 0.566 0.531 0.344
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
166/299 4.05G 0.02631 0.02366 0.0001961 205 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.597 0.53 0.517 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
167/299 4.05G 0.02594 0.02302 0.0002983 160 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.61 0.526 0.516 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
168/299 4.05G 0.02581 0.02294 0.000205 114 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.565 0.536 0.498 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
169/299 4.05G 0.02646 0.02356 0.0002507 165 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.579 0.538 0.509 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
170/299 4.05G 0.02631 0.02308 0.0002708 188 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.612 0.506 0.518 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
171/299 4.05G 0.02606 0.02312 0.0003557 129 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.57 0.567 0.511 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
172/299 4.05G 0.02584 0.02315 0.0002736 209 640: 100% 69/69 [00:12<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.594 0.546 0.506 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
173/299 4.05G 0.02645 0.02267 0.0002554 146 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.64 0.513 0.52 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
174/299 4.05G 0.02586 0.02267 0.0002385 255 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.617 0.504 0.515 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
175/299 4.05G 0.02609 0.02323 0.000236 208 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.6 0.561 0.52 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
176/299 4.05G 0.02615 0.02303 0.0002746 212 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.603 0.533 0.514 0.33
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
177/299 4.05G 0.02594 0.02276 0.000185 165 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.573 0.536 0.502 0.332
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
178/299 4.05G 0.02601 0.02284 0.0001829 179 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.563 0.595 0.509 0.331
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
179/299 4.05G 0.02594 0.02284 0.0002866 177 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.57 0.559 0.512 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
180/299 4.05G 0.02564 0.02274 0.0002538 184 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.587 0.576 0.521 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
181/299 4.05G 0.02615 0.02286 0.0002362 250 640: 100% 69/69 [00:12<00:00, 5.36it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.59 0.562 0.518 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
182/299 4.05G 0.02609 0.0233 0.0002369 197 640: 100% 69/69 [00:12<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.595 0.571 0.522 0.34
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
183/299 4.05G 0.0259 0.02273 0.0002741 216 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.607 0.539 0.514 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
184/299 4.05G 0.0258 0.023 0.0005122 191 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.615 0.586 0.535 0.344
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
185/299 4.05G 0.02571 0.02267 0.000327 190 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.588 0.567 0.507 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
186/299 4.05G 0.02606 0.02302 0.0002265 203 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.572 0.6 0.533 0.35
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
187/299 4.05G 0.0255 0.0234 0.0001636 206 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.657 0.508 0.536 0.349
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
188/299 4.05G 0.02587 0.0232 0.0002466 208 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.586 0.556 0.516 0.34
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
189/299 4.05G 0.02564 0.02261 0.0003456 153 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.572 0.566 0.513 0.34
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
190/299 4.05G 0.0258 0.0233 0.0003389 161 640: 100% 69/69 [00:12<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.576 0.547 0.509 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
191/299 4.05G 0.02524 0.02182 0.0002453 226 640: 100% 69/69 [00:12<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.08it/s]
all 655 3065 0.585 0.545 0.515 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
192/299 4.05G 0.02535 0.02242 0.0002174 234 640: 100% 69/69 [00:12<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.591 0.551 0.519 0.339
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
193/299 4.05G 0.02606 0.02289 0.0002396 137 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.596 0.589 0.545 0.35
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
194/299 4.05G 0.02561 0.02252 0.0002534 152 640: 100% 69/69 [00:12<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.07it/s]
all 655 3065 0.591 0.582 0.536 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
195/299 4.05G 0.02533 0.02303 0.0002565 157 640: 100% 69/69 [00:12<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.06it/s]
all 655 3065 0.658 0.538 0.54 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
196/299 4.05G 0.02534 0.02305 0.0002321 240 640: 100% 69/69 [00:12<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.632 0.518 0.538 0.351
Stopping training early as no improvement observed in last 100 epochs. Best results observed at epoch 96, best model saved as best.pt.
To update EarlyStopping(patience=100) pass a new patience value, i.e. `python train.py --patience 300` or use `--patience 0` to disable EarlyStopping.
197 epochs completed in 1.005 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/weights/last.pt, 14.5MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/weights/best.pt, 14.5MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/weights/best.pt...
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:07<00:00, 1.55it/s]
all 655 3065 0.597 0.56 0.541 0.355
plane 655 2995 0.932 0.763 0.857 0.58
helicopter 655 70 0.262 0.357 0.226 0.13
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData
!python train.py --hyp data/hyps/hyp.VOC.yaml --weights /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/weights/best.pt --epochs 200 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile24_Freeze_FineTune_Tiled_TrainingData --cache
train: weights=/content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/weights/best.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.VOC.yaml, epochs=200, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile24_Freeze_FineTune_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
hyperparameters: lr0=0.00334, lrf=0.15135, momentum=0.74832, weight_decay=0.00025, warmup_epochs=3.3835, warmup_momentum=0.59462, warmup_bias_lr=0.18657, box=0.02, cls=0.21638, cls_pw=0.5, obj=0.51728, obj_pw=0.67198, iou_t=0.2, anchor_t=3.3744, fl_gamma=0.0, hsv_h=0.01041, hsv_s=0.54703, hsv_v=0.27739, degrees=0.0, translate=0.04591, scale=0.75544, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.85834, mixup=0.04266, copy_paste=0.0, anchors=3.412
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
Overriding model.yaml anchors with anchors=3.412
from n params module arguments
0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 2 115712 models.common.C3 [128, 128, 2]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 3 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 1182720 models.common.C3 [512, 512, 1]
9 -1 1 656896 models.common.SPPF [512, 512, 5]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 18879 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [128, 256, 512]]
Model summary: 214 layers, 7025023 parameters, 7025023 gradients, 16.0 GFLOPs
Transferred 348/349 items from /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_Tiled_TrainingData/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00334) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.000234375), 60 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 6 missing, 0 empty, 0 corrupt: 100% 2069/2069 [00:00<?, ?it/s]
train: Caching images (2.5GB ram): 100% 2069/2069 [00:07<00:00, 286.19it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 0 missing, 0 empty, 0 corrupt: 100% 655/655 [00:00<?, ?it/s]
val: Caching images (0.8GB ram): 100% 655/655 [00:02<00:00, 268.37it/s]
AutoAnchor: 0.05 anchors/target, 0.015 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7312: 100% 1000/1000 [00:01<00:00, 629.80it/s]
AutoAnchor: thr=0.30: 0.9607 best possible recall, 4.92 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.362/0.737-mean/best, past_thr=0.522-mean: 33,30, 21,67, 72,22, 47,57, 78,70, 114,116, 167,163, 295,119, 259,268
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_FineTune_Tiled_TrainingData/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_FineTune_Tiled_TrainingData
Starting training for 200 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/199 6.86G 0.01888 0.01233 0.0002865 284 640: 100% 69/69 [00:25<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.551 0.472 0.509 0.335
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/199 8.54G 0.01368 0.01136 0.000203 145 640: 100% 69/69 [00:23<00:00, 2.97it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.563 0.544 0.538 0.351
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/199 8.54G 0.01218 0.01106 0.0002159 340 640: 100% 69/69 [00:23<00:00, 2.97it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.612 0.527 0.54 0.354
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/199 8.54G 0.01128 0.01021 0.0002083 297 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.652 0.513 0.55 0.35
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/199 8.54G 0.01068 0.01019 0.0001761 296 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.673 0.527 0.549 0.354
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/199 8.54G 0.01039 0.009809 0.0001391 148 640: 100% 69/69 [00:23<00:00, 2.94it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.695 0.517 0.55 0.353
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/199 8.54G 0.01024 0.009653 0.0001541 178 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.685 0.534 0.548 0.347
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/199 8.54G 0.01026 0.009421 0.0001737 254 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.676 0.519 0.557 0.348
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/199 8.54G 0.01004 0.009455 0.0001526 172 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.649 0.497 0.524 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/199 8.54G 0.009847 0.009388 0.000124 253 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.644 0.512 0.532 0.345
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/199 8.54G 0.01009 0.009304 0.0001277 180 640: 100% 69/69 [00:23<00:00, 2.93it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.66 0.528 0.54 0.352
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/199 8.54G 0.009883 0.00924 0.0001284 283 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.678 0.509 0.54 0.349
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/199 8.54G 0.00988 0.009214 0.0001167 142 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.642 0.532 0.526 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/199 8.54G 0.009856 0.009134 0.0001041 242 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.622 0.529 0.525 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/199 8.54G 0.009698 0.009159 0.0001093 286 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.636 0.524 0.525 0.35
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/199 8.54G 0.009734 0.009358 0.0001056 105 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.687 0.534 0.549 0.359
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/199 8.54G 0.009776 0.009187 0.0001346 155 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.649 0.524 0.532 0.356
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/199 8.54G 0.009715 0.008795 0.000149 137 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.706 0.529 0.542 0.36
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/199 8.54G 0.009651 0.009094 0.000131 247 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.618 0.528 0.523 0.35
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/199 8.54G 0.009711 0.009221 0.000101 112 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.653 0.516 0.537 0.359
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/199 8.54G 0.009532 0.008816 9.385e-05 314 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.595 0.543 0.526 0.354
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/199 8.54G 0.009574 0.009111 0.0001068 226 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.646 0.531 0.538 0.357
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/199 8.54G 0.009632 0.009292 0.0001295 253 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.98it/s]
all 655 3065 0.668 0.541 0.551 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/199 8.54G 0.00961 0.009083 9.873e-05 313 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.68 0.561 0.561 0.364
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/199 8.54G 0.0095 0.008737 0.0001003 186 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.678 0.552 0.557 0.364
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/199 8.54G 0.009515 0.0087 7.504e-05 241 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.696 0.54 0.556 0.362
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/199 8.54G 0.0095 0.008357 0.0001172 220 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.684 0.542 0.563 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/199 8.54G 0.009423 0.008489 9.577e-05 216 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.689 0.538 0.558 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/199 8.54G 0.009459 0.008589 0.0001142 117 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.651 0.545 0.552 0.36
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/199 8.54G 0.00955 0.008785 0.0001008 207 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.662 0.547 0.559 0.362
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/199 8.54G 0.009425 0.00851 0.0001466 168 640: 100% 69/69 [00:23<00:00, 2.89it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.691 0.536 0.561 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/199 8.54G 0.009371 0.008859 0.0001061 229 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.697 0.54 0.561 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/199 8.54G 0.00922 0.00856 0.0001112 265 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.695 0.526 0.557 0.366
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/199 8.54G 0.009322 0.008372 0.0001214 150 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.97it/s]
all 655 3065 0.677 0.536 0.557 0.363
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/199 8.54G 0.009412 0.008487 0.0001028 135 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.712 0.543 0.569 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/199 8.54G 0.009262 0.008568 7.743e-05 204 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.704 0.546 0.571 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/199 8.54G 0.009326 0.008523 7.482e-05 156 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.702 0.543 0.58 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/199 8.54G 0.009069 0.008419 9.229e-05 135 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.71 0.554 0.578 0.372
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/199 8.54G 0.009126 0.008602 8.464e-05 202 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.712 0.536 0.556 0.369
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/199 8.54G 0.00923 0.008243 6.333e-05 229 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.722 0.544 0.567 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/199 8.54G 0.009288 0.00887 8.611e-05 221 640: 100% 69/69 [00:23<00:00, 2.89it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.733 0.543 0.573 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/199 8.54G 0.009245 0.008599 7.148e-05 199 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.738 0.567 0.591 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/199 8.54G 0.009203 0.008557 8.708e-05 194 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.732 0.552 0.574 0.372
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/199 8.54G 0.009281 0.008424 9.473e-05 236 640: 100% 69/69 [00:23<00:00, 2.89it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.743 0.553 0.588 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/199 8.54G 0.009151 0.008768 8.082e-05 147 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.768 0.555 0.616 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/199 8.54G 0.009163 0.008369 8.767e-05 251 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.691 0.552 0.576 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/199 8.54G 0.009224 0.008558 0.0001103 207 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.698 0.534 0.576 0.372
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/199 8.54G 0.009127 0.008547 8.919e-05 236 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.693 0.54 0.564 0.364
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/199 8.54G 0.009144 0.008633 9.418e-05 116 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.735 0.527 0.575 0.372
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/199 8.54G 0.009182 0.008876 0.0001012 273 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.95it/s]
all 655 3065 0.708 0.546 0.576 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/199 8.54G 0.00929 0.008476 8.788e-05 185 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.755 0.556 0.597 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/199 8.54G 0.009073 0.008352 8.273e-05 209 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.756 0.56 0.606 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/199 8.54G 0.009155 0.008467 8.356e-05 240 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.765 0.544 0.606 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/199 8.54G 0.008854 0.008457 6.637e-05 118 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.775 0.543 0.609 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/199 8.54G 0.008895 0.008303 8.029e-05 297 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.744 0.546 0.602 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/199 8.54G 0.009049 0.008379 8.909e-05 212 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.749 0.553 0.605 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/199 8.54G 0.009128 0.008507 0.000108 201 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.735 0.552 0.584 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/199 8.54G 0.009122 0.00825 8.262e-05 161 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.741 0.531 0.59 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/199 8.54G 0.008919 0.008439 7.834e-05 130 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.775 0.553 0.601 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/199 8.54G 0.009057 0.008362 5.908e-05 196 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.759 0.537 0.579 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/199 8.54G 0.009037 0.008596 0.0001356 220 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.745 0.545 0.587 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/199 8.54G 0.008977 0.008505 8.623e-05 167 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.722 0.534 0.576 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/199 8.54G 0.008968 0.008473 0.0001005 193 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.95it/s]
all 655 3065 0.751 0.542 0.586 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/199 8.54G 0.008995 0.008292 0.0001036 296 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.75 0.53 0.578 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/199 8.54G 0.009137 0.008204 9.474e-05 170 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.744 0.548 0.589 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/199 8.54G 0.008948 0.008363 8.654e-05 176 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.753 0.55 0.598 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/199 8.54G 0.009055 0.008329 5.959e-05 187 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.748 0.558 0.602 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/199 8.54G 0.009039 0.008294 8.991e-05 265 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.734 0.547 0.6 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/199 8.54G 0.008855 0.008086 7.548e-05 121 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.759 0.564 0.599 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/199 8.54G 0.009033 0.008166 8.176e-05 175 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.779 0.546 0.591 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/199 8.54G 0.008906 0.008384 6.54e-05 271 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.754 0.547 0.588 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/199 8.54G 0.008955 0.008027 7.585e-05 159 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.753 0.547 0.582 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/199 8.54G 0.008904 0.008413 7.341e-05 178 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.715 0.533 0.569 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/199 8.54G 0.008966 0.008081 6.36e-05 192 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.731 0.546 0.594 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/199 8.54G 0.008911 0.008324 7.577e-05 209 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.753 0.537 0.596 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/199 8.54G 0.009005 0.008374 6.969e-05 222 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.767 0.557 0.603 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/199 8.54G 0.008679 0.008053 6.012e-05 150 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.732 0.542 0.579 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/199 8.54G 0.008773 0.008269 7.445e-05 169 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.72 0.571 0.592 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/199 8.54G 0.008937 0.008237 9.492e-05 190 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.734 0.566 0.597 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/199 8.54G 0.008929 0.008441 5.712e-05 199 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.753 0.544 0.594 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/199 8.54G 0.008881 0.008284 7.223e-05 87 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.762 0.542 0.599 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/199 8.54G 0.008692 0.008011 7.404e-05 203 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.749 0.55 0.604 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/199 8.54G 0.009243 0.008663 0.0001252 191 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.715 0.552 0.601 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/199 8.54G 0.008972 0.008339 0.0001482 206 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.98it/s]
all 655 3065 0.697 0.529 0.576 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/199 8.54G 0.008823 0.00825 0.0001176 195 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.722 0.551 0.59 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/199 8.54G 0.008769 0.008262 5.958e-05 181 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.723 0.538 0.584 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/199 8.54G 0.008797 0.008067 6.635e-05 160 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.732 0.541 0.594 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/199 8.54G 0.008703 0.008428 5.474e-05 109 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.744 0.527 0.594 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/199 8.54G 0.008732 0.008422 6.515e-05 156 640: 100% 69/69 [00:23<00:00, 2.89it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.709 0.524 0.573 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/199 8.54G 0.008763 0.008469 5.86e-05 380 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.726 0.52 0.577 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/199 8.54G 0.008776 0.008403 6.637e-05 218 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.665 0.563 0.576 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/199 8.54G 0.008759 0.008131 0.0001021 172 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.739 0.545 0.595 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/199 8.54G 0.008878 0.008197 6.833e-05 182 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.96it/s]
all 655 3065 0.728 0.547 0.597 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/199 8.54G 0.008685 0.008236 9.162e-05 211 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.725 0.56 0.592 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/199 8.54G 0.008754 0.008342 7.623e-05 150 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.757 0.57 0.611 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/199 8.54G 0.008704 0.008419 7.578e-05 190 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.764 0.566 0.618 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/199 8.54G 0.00874 0.008137 7.456e-05 144 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.736 0.555 0.611 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/199 8.54G 0.008784 0.008113 6.75e-05 172 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.747 0.556 0.607 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/199 8.54G 0.008748 0.008223 0.000109 298 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.771 0.556 0.617 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/199 8.54G 0.008632 0.008649 7.702e-05 173 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.751 0.555 0.612 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/199 8.54G 0.008764 0.008178 6.32e-05 273 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.744 0.552 0.614 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/199 8.54G 0.0086 0.007971 6.688e-05 168 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.05it/s]
all 655 3065 0.753 0.537 0.609 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/199 8.54G 0.008701 0.008096 8.32e-05 140 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.752 0.556 0.618 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/199 8.54G 0.008774 0.008481 6.031e-05 218 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.766 0.543 0.613 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/199 8.54G 0.008663 0.008314 8.405e-05 218 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.735 0.561 0.616 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/199 8.54G 0.008674 0.008522 8.542e-05 192 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.731 0.559 0.61 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/199 8.54G 0.008656 0.008033 8.79e-05 232 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.757 0.533 0.594 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/199 8.54G 0.008752 0.007899 7.979e-05 120 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.97it/s]
all 655 3065 0.75 0.557 0.621 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/199 8.54G 0.008558 0.00807 5.191e-05 155 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.748 0.548 0.623 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/199 8.54G 0.00867 0.008201 7.214e-05 240 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.708 0.577 0.614 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/199 8.54G 0.008653 0.008271 4.723e-05 148 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.7 0.58 0.615 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/199 8.54G 0.008649 0.008399 7.383e-05 246 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.717 0.576 0.613 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/199 8.54G 0.008621 0.007818 6.623e-05 174 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.708 0.568 0.612 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/199 8.54G 0.008717 0.008313 6.004e-05 176 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.764 0.536 0.615 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/199 8.54G 0.008657 0.007912 7.958e-05 135 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.711 0.539 0.591 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/199 8.54G 0.00866 0.008335 9.28e-05 212 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.691 0.579 0.605 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/199 8.54G 0.008579 0.007757 7.657e-05 236 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.71 0.543 0.606 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/199 8.54G 0.008567 0.007939 7.333e-05 151 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.711 0.534 0.603 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/199 8.54G 0.008618 0.007945 6.718e-05 277 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.675 0.577 0.603 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/199 8.54G 0.008582 0.008042 5.444e-05 178 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.73 0.535 0.6 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/199 8.54G 0.008552 0.008092 7.876e-05 234 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.723 0.542 0.605 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/199 8.54G 0.008518 0.007942 5.406e-05 174 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.711 0.525 0.585 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/199 8.54G 0.008486 0.008307 6.471e-05 187 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.731 0.541 0.612 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/199 8.54G 0.008761 0.007945 6.553e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.743 0.533 0.617 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/199 8.54G 0.008397 0.007913 5.372e-05 198 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.723 0.534 0.611 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/199 8.54G 0.008701 0.008146 6.39e-05 210 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.741 0.533 0.616 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/199 8.54G 0.008545 0.008025 7.999e-05 160 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.742 0.548 0.623 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/199 8.54G 0.008589 0.008156 5.405e-05 143 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.732 0.543 0.614 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/199 8.54G 0.008676 0.008533 6.611e-05 156 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.729 0.543 0.602 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/199 8.54G 0.008465 0.008065 5.062e-05 180 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.715 0.554 0.614 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/199 8.54G 0.00858 0.008305 6.521e-05 192 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.735 0.548 0.612 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/199 8.54G 0.008584 0.008379 0.0001305 207 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.748 0.541 0.62 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/199 8.54G 0.008577 0.008037 6.317e-05 149 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.768 0.542 0.615 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/199 8.54G 0.008652 0.008003 9.413e-05 172 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.77 0.541 0.612 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/199 8.54G 0.008424 0.007869 6.874e-05 160 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.77 0.539 0.611 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/199 8.54G 0.008549 0.007921 6.849e-05 202 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.779 0.537 0.61 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/199 8.54G 0.008653 0.008355 6.837e-05 168 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.745 0.542 0.617 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/199 8.54G 0.008717 0.008038 7.748e-05 151 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.767 0.54 0.614 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/199 8.54G 0.00854 0.00805 6.902e-05 149 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.742 0.536 0.597 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/199 8.54G 0.008527 0.007874 5.285e-05 309 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.741 0.542 0.61 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/199 8.54G 0.008507 0.007973 5.083e-05 148 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.725 0.549 0.61 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/199 8.54G 0.008397 0.008092 6.581e-05 206 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.713 0.549 0.611 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/199 8.54G 0.008533 0.007897 9.699e-05 154 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.785 0.549 0.615 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/199 8.54G 0.008611 0.007922 0.0001032 165 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.786 0.558 0.627 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/199 8.54G 0.00858 0.008055 6.463e-05 176 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.765 0.559 0.622 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/199 8.54G 0.00867 0.007832 4.897e-05 127 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.758 0.546 0.615 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/199 8.54G 0.008446 0.008188 5.945e-05 213 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.762 0.544 0.612 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/199 8.54G 0.008535 0.007758 7.393e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.96it/s]
all 655 3065 0.768 0.538 0.61 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/199 8.54G 0.008514 0.007954 4.78e-05 200 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.753 0.54 0.609 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/199 8.54G 0.008299 0.008004 5.723e-05 190 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.746 0.534 0.605 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
150/199 8.54G 0.008487 0.008017 5.923e-05 197 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.762 0.531 0.605 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
151/199 8.54G 0.008602 0.008117 5.611e-05 234 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.732 0.538 0.589 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
152/199 8.54G 0.008306 0.008231 4.463e-05 138 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.713 0.544 0.593 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
153/199 8.54G 0.008518 0.008036 9.648e-05 202 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.751 0.546 0.612 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
154/199 8.54G 0.008286 0.007972 7.189e-05 198 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.761 0.544 0.611 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
155/199 8.54G 0.008445 0.008135 0.0001064 205 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.757 0.542 0.61 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
156/199 8.54G 0.008341 0.007895 7.395e-05 165 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.747 0.54 0.609 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
157/199 8.54G 0.00862 0.008181 7.003e-05 196 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.752 0.541 0.608 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
158/199 8.54G 0.008325 0.007934 6.647e-05 221 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.752 0.542 0.608 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
159/199 8.54G 0.008446 0.008161 6.426e-05 151 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.746 0.534 0.604 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
160/199 8.54G 0.008481 0.007914 7.791e-05 178 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.757 0.528 0.607 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
161/199 8.54G 0.008389 0.008144 6.91e-05 184 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.752 0.54 0.606 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
162/199 8.54G 0.008517 0.007916 5.041e-05 282 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.753 0.536 0.605 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
163/199 8.54G 0.008423 0.007907 6.848e-05 157 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.764 0.531 0.605 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
164/199 8.54G 0.008356 0.007777 6.803e-05 190 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.761 0.529 0.606 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
165/199 8.54G 0.008489 0.007825 6.855e-05 183 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.75 0.535 0.606 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
166/199 8.54G 0.008492 0.007895 7.138e-05 244 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.751 0.537 0.605 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
167/199 8.54G 0.008393 0.00818 8.885e-05 146 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.748 0.538 0.608 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
168/199 8.54G 0.008612 0.007955 8.139e-05 155 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.748 0.546 0.593 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
169/199 8.54G 0.008682 0.0079 8.194e-05 171 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.724 0.557 0.608 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
170/199 8.54G 0.008472 0.007819 7.15e-05 177 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.723 0.559 0.608 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
171/199 8.54G 0.008293 0.0081 6.853e-05 118 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.749 0.556 0.608 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
172/199 8.54G 0.008265 0.007795 6.364e-05 230 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.739 0.548 0.609 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
173/199 8.54G 0.008499 0.007894 6.835e-05 159 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.759 0.547 0.609 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
174/199 8.54G 0.00811 0.007541 5.04e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.767 0.548 0.61 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
175/199 8.54G 0.008472 0.008173 5.896e-05 325 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.96it/s]
all 655 3065 0.759 0.545 0.608 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
176/199 8.54G 0.008335 0.007926 5.884e-05 169 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.762 0.548 0.608 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
177/199 8.54G 0.008445 0.008128 5.672e-05 211 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.763 0.548 0.609 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
178/199 8.54G 0.008539 0.007885 5.883e-05 203 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.761 0.543 0.61 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
179/199 8.54G 0.008389 0.008024 7.149e-05 179 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.718 0.559 0.607 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
180/199 8.54G 0.0083 0.008013 6.515e-05 174 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.95it/s]
all 655 3065 0.747 0.543 0.607 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
181/199 8.54G 0.008345 0.007932 8.071e-05 226 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.745 0.546 0.606 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
182/199 8.54G 0.008377 0.008251 4.964e-05 140 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.724 0.549 0.608 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
183/199 8.54G 0.008489 0.008096 9.479e-05 291 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.729 0.557 0.609 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
184/199 8.54G 0.008413 0.007936 8.888e-05 137 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.721 0.558 0.606 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
185/199 8.54G 0.00834 0.008235 8.689e-05 176 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.71 0.561 0.601 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
186/199 8.54G 0.008333 0.007782 8.293e-05 134 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.719 0.555 0.601 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
187/199 8.54G 0.008218 0.007699 6.777e-05 188 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.00it/s]
all 655 3065 0.708 0.552 0.601 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
188/199 8.54G 0.008376 0.007726 7.041e-05 165 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.708 0.559 0.601 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
189/199 8.54G 0.008398 0.007858 6.685e-05 209 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.04it/s]
all 655 3065 0.708 0.56 0.6 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
190/199 8.54G 0.008324 0.007631 6.611e-05 210 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.03it/s]
all 655 3065 0.718 0.558 0.603 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
191/199 8.54G 0.00849 0.008066 7.017e-05 214 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.716 0.557 0.601 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
192/199 8.54G 0.008412 0.008111 7.298e-05 219 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 1.99it/s]
all 655 3065 0.705 0.559 0.601 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
193/199 8.54G 0.00833 0.00792 7.971e-05 169 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.708 0.558 0.601 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
194/199 8.54G 0.008331 0.007994 5.034e-05 155 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.72 0.543 0.604 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
195/199 8.54G 0.008375 0.007662 5.135e-05 228 640: 100% 69/69 [00:23<00:00, 2.90it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.732 0.542 0.605 0.38
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
196/199 8.54G 0.008547 0.007984 6.074e-05 162 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.747 0.542 0.606 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
197/199 8.54G 0.008229 0.008037 6.402e-05 233 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.722 0.556 0.606 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
198/199 8.54G 0.008231 0.007823 5.725e-05 149 640: 100% 69/69 [00:23<00:00, 2.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.02it/s]
all 655 3065 0.722 0.556 0.607 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
199/199 8.54G 0.008474 0.007884 6.059e-05 169 640: 100% 69/69 [00:23<00:00, 2.92it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:05<00:00, 2.01it/s]
all 655 3065 0.753 0.548 0.607 0.38
200 epochs completed in 1.645 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_FineTune_Tiled_TrainingData/weights/last.pt, 14.5MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_FineTune_Tiled_TrainingData/weights/best.pt, 14.5MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_FineTune_Tiled_TrainingData/weights/best.pt...
Fusing layers...
Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 11/11 [00:07<00:00, 1.50it/s]
all 655 3065 0.785 0.558 0.626 0.386
plane 655 2995 0.975 0.73 0.88 0.632
helicopter 655 70 0.595 0.386 0.372 0.141
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile24_Freeze_FineTune_Tiled_TrainingData
Modell 11#
!python train.py --weights yolov5m.pt --epochs 300 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile29_Mmod_Background_Tiled_TrainingData --cache
train: weights=yolov5m.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=300, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile29_Mmod_Background_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...
100% 755k/755k [00:00<00:00, 144MB/s]
Downloading https://github.com/ultralytics/yolov5/releases/download/v6.2/yolov5m.pt to yolov5m.pt...
100% 40.8M/40.8M [00:00<00:00, 382MB/s]
Overriding model.yaml nc=80 with nc=2
from n params module arguments
0 -1 1 5280 models.common.Conv [3, 48, 6, 2, 2]
1 -1 1 41664 models.common.Conv [48, 96, 3, 2]
2 -1 2 65280 models.common.C3 [96, 96, 2]
3 -1 1 166272 models.common.Conv [96, 192, 3, 2]
4 -1 4 444672 models.common.C3 [192, 192, 4]
5 -1 1 664320 models.common.Conv [192, 384, 3, 2]
6 -1 6 2512896 models.common.C3 [384, 384, 6]
7 -1 1 2655744 models.common.Conv [384, 768, 3, 2]
8 -1 2 4134912 models.common.C3 [768, 768, 2]
9 -1 1 1476864 models.common.SPPF [768, 768, 5]
10 -1 1 295680 models.common.Conv [768, 384, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 2 1182720 models.common.C3 [768, 384, 2, False]
14 -1 1 74112 models.common.Conv [384, 192, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 2 296448 models.common.C3 [384, 192, 2, False]
18 -1 1 332160 models.common.Conv [192, 192, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 2 1035264 models.common.C3 [384, 384, 2, False]
21 -1 1 1327872 models.common.Conv [384, 384, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 2 4134912 models.common.C3 [768, 768, 2, False]
24 [17, 20, 23] 1 28287 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [192, 384, 768]]
Model summary: 291 layers, 20875359 parameters, 20875359 gradients, 48.2 GFLOPs
Transferred 475/481 items from yolov5m.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.01) with parameter groups 79 weight(decay=0.0), 82 weight(decay=0.00046875), 82 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.8GB ram): 100% 2331/2331 [02:22<00:00, 16.33it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
val: Caching images (1.0GB ram): 100% 863/863 [00:30<00:00, 28.53it/s]
AutoAnchor: 5.22 anchors/target, 0.974 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7494: 100% 1000/1000 [00:01<00:00, 668.95it/s]
AutoAnchor: thr=0.25: 0.9714 best possible recall, 6.14 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.391/0.753-mean/best, past_thr=0.502-mean: 16,15, 37,31, 22,71, 46,57, 72,62, 120,54, 68,96, 126,119, 229,207
AutoAnchor: Done ⚠️ (original anchors better than new anchors, proceeding with original anchors)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData
Starting training for 300 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/299 11.7G 0.08619 0.04106 0.01347 123 640: 100% 78/78 [01:00<00:00, 1.29it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:12<00:00, 1.18it/s]
all 863 3065 0.726 0.21 0.199 0.0801
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/299 14.2G 0.06352 0.03156 0.004941 117 640: 100% 78/78 [00:56<00:00, 1.38it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.40it/s]
all 863 3065 0.511 0.381 0.334 0.155
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/299 14.2G 0.05861 0.02784 0.003703 113 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.379 0.388 0.308 0.126
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/299 14.2G 0.04962 0.02836 0.003662 106 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.401 0.393 0.363 0.209
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/299 14.2G 0.04481 0.02618 0.002861 110 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.576 0.428 0.433 0.249
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/299 14.2G 0.04158 0.02589 0.002775 137 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.627 0.451 0.464 0.264
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/299 14.2G 0.03967 0.02592 0.002166 145 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.504 0.486 0.46 0.282
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/299 14.2G 0.03754 0.02475 0.001688 96 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.639 0.439 0.472 0.298
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/299 14.2G 0.03611 0.0241 0.00165 86 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.534 0.461 0.445 0.276
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/299 14.2G 0.03588 0.02455 0.001701 82 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.719 0.448 0.501 0.328
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/299 14.2G 0.03516 0.02322 0.001423 126 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.666 0.485 0.523 0.344
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/299 14.2G 0.03399 0.02333 0.001401 80 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.576 0.439 0.458 0.294
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/299 14.2G 0.03273 0.02293 0.001164 98 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.626 0.483 0.48 0.31
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/299 14.2G 0.0326 0.02381 0.0009768 158 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.692 0.449 0.527 0.346
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/299 14.2G 0.03296 0.02233 0.001031 76 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.622 0.486 0.514 0.334
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/299 14.2G 0.03243 0.02212 0.001098 121 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.63 0.463 0.518 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/299 14.2G 0.0307 0.02193 0.0008851 159 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.587 0.527 0.539 0.353
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/299 14.2G 0.03071 0.02129 0.0008251 97 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.574 0.543 0.488 0.323
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/299 14.2G 0.03013 0.02119 0.0007196 104 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.535 0.522 0.485 0.317
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/299 14.2G 0.02988 0.02096 0.0009056 137 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.621 0.627 0.573 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/299 14.2G 0.03004 0.02177 0.0008486 119 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.572 0.582 0.505 0.329
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/299 14.2G 0.02989 0.02215 0.0007969 59 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.657 0.512 0.559 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/299 14.2G 0.02928 0.02077 0.0007257 99 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.509 0.54 0.469 0.312
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/299 14.2G 0.03005 0.02129 0.0007427 110 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.566 0.583 0.515 0.352
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/299 14.2G 0.0287 0.02113 0.0006555 115 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.607 0.532 0.556 0.364
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/299 14.2G 0.02822 0.02125 0.0005464 113 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.721 0.511 0.586 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/299 14.2G 0.02814 0.02032 0.0006026 92 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.591 0.581 0.544 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/299 14.2G 0.02794 0.02093 0.001043 188 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.44it/s]
all 863 3065 0.64 0.613 0.575 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/299 14.2G 0.02779 0.0203 0.000554 116 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.566 0.526 0.503 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/299 14.2G 0.02836 0.02053 0.0006257 144 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.601 0.607 0.574 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/299 14.2G 0.02756 0.02032 0.0006298 83 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.586 0.582 0.528 0.349
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/299 14.2G 0.02743 0.02105 0.000512 128 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.56 0.574 0.527 0.359
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/299 14.2G 0.02698 0.02008 0.0004845 147 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.678 0.62 0.605 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/299 14.2G 0.02729 0.01999 0.0006363 87 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.669 0.444 0.534 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/299 14.2G 0.02641 0.0198 0.0006042 127 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.69 0.571 0.598 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/299 14.2G 0.02672 0.0198 0.0004981 120 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.606 0.567 0.554 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/299 14.2G 0.02588 0.02005 0.0003983 109 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.695 0.512 0.577 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/299 14.2G 0.02627 0.01986 0.000384 105 640: 100% 78/78 [00:55<00:00, 1.40it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.663 0.571 0.607 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/299 14.2G 0.02634 0.01946 0.0004679 90 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.643 0.555 0.594 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/299 14.2G 0.02594 0.01908 0.0004548 84 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.66 0.623 0.58 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/299 14.2G 0.0259 0.01949 0.0004197 105 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.617 0.661 0.578 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/299 14.2G 0.02604 0.01918 0.0004418 128 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.593 0.665 0.6 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/299 14.2G 0.02574 0.01976 0.0004249 115 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.716 0.565 0.604 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/299 14.2G 0.02545 0.0188 0.0004086 113 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.602 0.628 0.576 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/299 14.2G 0.02483 0.01871 0.0003608 156 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.618 0.664 0.623 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/299 14.2G 0.02522 0.01854 0.0003047 117 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.597 0.572 0.546 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/299 14.2G 0.02522 0.0194 0.0004294 118 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.727 0.554 0.594 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/299 14.2G 0.02493 0.01853 0.0005597 130 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.649 0.587 0.591 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/299 14.2G 0.0249 0.01916 0.0004864 107 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.601 0.624 0.575 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/299 14.2G 0.02446 0.01881 0.0003917 83 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.623 0.587 0.592 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/299 14.2G 0.02477 0.01853 0.0003359 135 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.611 0.583 0.553 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/299 14.2G 0.0246 0.01859 0.0003403 132 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.611 0.566 0.579 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/299 14.2G 0.02401 0.01861 0.000368 118 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.801 0.641 0.69 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/299 14.2G 0.02437 0.01791 0.0004474 168 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.662 0.605 0.578 0.376
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/299 14.2G 0.02437 0.01835 0.0003286 175 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.627 0.605 0.609 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/299 14.2G 0.02409 0.01825 0.000382 142 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.667 0.628 0.594 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/299 14.2G 0.02384 0.01755 0.0003123 93 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.577 0.62 0.576 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/299 14.2G 0.02357 0.01768 0.0003607 108 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.693 0.593 0.628 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/299 14.2G 0.02357 0.01835 0.0002974 157 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.788 0.587 0.664 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/299 14.2G 0.02422 0.01855 0.0003419 101 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.617 0.67 0.614 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/299 14.2G 0.02338 0.01751 0.0003953 87 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.709 0.561 0.614 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/299 14.2G 0.02375 0.01734 0.0002911 85 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.613 0.638 0.598 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/299 14.2G 0.02314 0.01764 0.0003001 113 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.792 0.586 0.657 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/299 14.2G 0.02286 0.01713 0.0004002 113 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.756 0.646 0.653 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/299 14.2G 0.02376 0.01826 0.0002962 99 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.737 0.519 0.585 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/299 14.2G 0.02257 0.01712 0.000328 86 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.719 0.563 0.609 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/299 14.2G 0.02266 0.01734 0.0002836 111 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.63 0.592 0.596 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/299 14.2G 0.02293 0.01763 0.0003188 116 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.65 0.603 0.574 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/299 14.2G 0.02336 0.01727 0.000322 149 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.822 0.596 0.664 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/299 14.2G 0.02252 0.01827 0.0002701 99 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.599 0.616 0.577 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/299 14.2G 0.02243 0.01745 0.0002331 114 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.723 0.624 0.647 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/299 14.2G 0.0232 0.01734 0.0002668 86 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.639 0.624 0.593 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/299 14.2G 0.02294 0.01754 0.0003124 152 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.683 0.598 0.648 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/299 14.2G 0.02228 0.01772 0.0002952 109 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.628 0.634 0.606 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/299 14.2G 0.02237 0.01737 0.0002809 162 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.636 0.645 0.621 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/299 14.2G 0.02227 0.01739 0.0002658 168 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.636 0.561 0.581 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/299 14.2G 0.02215 0.01723 0.000285 100 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.613 0.586 0.591 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/299 14.2G 0.02203 0.0174 0.0003 106 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.722 0.564 0.626 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/299 14.2G 0.02212 0.01679 0.0003031 153 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.764 0.601 0.658 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/299 14.2G 0.02178 0.01699 0.0003133 113 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.649 0.529 0.579 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/299 14.2G 0.02242 0.01702 0.0002478 153 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.639 0.591 0.589 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/299 14.2G 0.02156 0.01667 0.0002747 95 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.733 0.574 0.638 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/299 14.2G 0.02157 0.01672 0.0002925 155 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.632 0.684 0.631 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/299 14.2G 0.02197 0.01637 0.0003332 100 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.618 0.611 0.599 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/299 14.2G 0.02142 0.0168 0.0002717 127 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.715 0.582 0.619 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/299 14.2G 0.02142 0.01644 0.0002517 110 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.658 0.624 0.597 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/299 14.2G 0.02173 0.01621 0.0002243 115 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.621 0.632 0.625 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/299 14.2G 0.02137 0.01671 0.0002584 95 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.616 0.587 0.589 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/299 14.2G 0.02102 0.01668 0.00021 139 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.625 0.635 0.617 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/299 14.2G 0.02152 0.01668 0.0002369 82 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.753 0.514 0.605 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/299 14.2G 0.02131 0.01648 0.0002353 93 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.722 0.605 0.651 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/299 14.2G 0.02105 0.01658 0.0002319 147 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.46it/s]
all 863 3065 0.688 0.624 0.613 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/299 14.2G 0.02136 0.01651 0.0003199 235 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.611 0.623 0.582 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/299 14.2G 0.02101 0.01623 0.0002802 127 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.633 0.659 0.646 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/299 14.2G 0.02087 0.01625 0.0002525 102 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.723 0.596 0.657 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/299 14.2G 0.0207 0.01604 0.0002446 101 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.611 0.626 0.6 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/299 14.2G 0.02126 0.01697 0.0002195 143 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.76 0.544 0.627 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/299 14.2G 0.02056 0.01615 0.0003724 152 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.602 0.621 0.59 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/299 14.2G 0.02091 0.01688 0.0002186 91 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.644 0.64 0.643 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/299 14.2G 0.02041 0.01614 0.0001691 128 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.717 0.567 0.635 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/299 14.2G 0.02049 0.01605 0.0002209 83 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.631 0.621 0.615 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/299 14.2G 0.02023 0.01607 0.0001904 109 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.662 0.6 0.62 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/299 14.2G 0.02074 0.01563 0.0002256 118 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.657 0.601 0.614 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/299 14.2G 0.0206 0.0155 0.0002959 106 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.724 0.546 0.641 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/299 14.2G 0.02015 0.01559 0.0002454 135 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.706 0.611 0.626 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/299 14.2G 0.02042 0.01633 0.0002116 88 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.655 0.696 0.659 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/299 14.2G 0.01997 0.01575 0.0002991 90 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.64 0.628 0.625 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/299 14.2G 0.02047 0.0157 0.0002818 142 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.636 0.704 0.639 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/299 14.2G 0.01981 0.01551 0.0002115 82 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.639 0.69 0.646 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/299 14.2G 0.02015 0.01562 0.0002033 111 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.653 0.674 0.633 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/299 14.2G 0.01986 0.01542 0.0001871 94 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.668 0.631 0.62 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/299 14.2G 0.01988 0.01579 0.0002424 167 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.681 0.611 0.628 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/299 14.2G 0.01981 0.01537 0.0002061 157 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.791 0.584 0.644 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/299 14.2G 0.0194 0.0153 0.0001762 94 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.725 0.615 0.646 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/299 14.2G 0.01981 0.01523 0.0002205 132 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.819 0.629 0.708 0.448
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/299 14.2G 0.01954 0.0153 0.0002563 115 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.701 0.657 0.689 0.445
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/299 14.2G 0.01978 0.01528 0.0001845 121 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.678 0.648 0.67 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/299 14.2G 0.01974 0.01562 0.0001843 197 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.649 0.625 0.637 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/299 14.2G 0.01947 0.01547 0.0001992 105 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.759 0.548 0.633 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/299 14.2G 0.01963 0.01573 0.0001733 107 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.718 0.534 0.612 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/299 14.2G 0.0196 0.01557 0.0002084 92 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.769 0.551 0.638 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/299 14.2G 0.01898 0.01493 0.0001924 82 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.796 0.598 0.678 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/299 14.2G 0.01946 0.01514 0.0002012 87 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.605 0.658 0.623 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/299 14.2G 0.01963 0.01537 0.0002687 213 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.666 0.61 0.621 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/299 14.2G 0.01935 0.01593 0.000187 137 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.627 0.646 0.616 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/299 14.2G 0.01904 0.01554 0.0001804 155 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.618 0.63 0.589 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/299 14.2G 0.0193 0.0153 0.0002197 151 640: 100% 78/78 [00:55<00:00, 1.40it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.64 0.626 0.625 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/299 14.2G 0.01895 0.01503 0.0001849 133 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.718 0.56 0.627 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/299 14.2G 0.01884 0.01456 0.0002082 82 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.715 0.558 0.643 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/299 14.2G 0.01896 0.01502 0.0001631 80 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.683 0.574 0.633 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/299 14.2G 0.01888 0.01501 0.0001508 131 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.74 0.579 0.644 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/299 14.2G 0.01877 0.015 0.0002521 69 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.703 0.614 0.64 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/299 14.2G 0.01885 0.01497 0.0001907 155 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.596 0.626 0.591 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/299 14.2G 0.01863 0.0149 0.0001626 139 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.747 0.54 0.62 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/299 14.2G 0.01857 0.01428 0.0002247 122 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.632 0.598 0.616 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/299 14.2G 0.01897 0.01467 0.0001974 117 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.629 0.628 0.614 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/299 14.2G 0.01852 0.01462 0.0001853 150 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.824 0.543 0.618 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/299 14.2G 0.01904 0.01511 0.0002113 163 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.694 0.596 0.622 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/299 14.2G 0.01823 0.01438 0.0001915 112 640: 100% 78/78 [00:55<00:00, 1.40it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.631 0.598 0.611 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/299 14.2G 0.01875 0.01463 0.0002184 97 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.662 0.586 0.603 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/299 14.2G 0.01842 0.01454 0.000242 82 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.724 0.572 0.631 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/299 14.2G 0.01831 0.01516 0.0002122 102 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.756 0.569 0.653 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/299 14.2G 0.01816 0.01432 0.0002006 84 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.7 0.617 0.635 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/299 14.2G 0.0184 0.01443 0.000167 176 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.712 0.554 0.634 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/299 14.2G 0.01777 0.01431 0.0001538 123 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.715 0.598 0.656 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/299 14.2G 0.01805 0.01372 0.0001767 82 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.828 0.604 0.691 0.441
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/299 14.2G 0.01838 0.01476 0.0001433 135 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.628 0.657 0.61 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/299 14.2G 0.01775 0.01406 0.0001761 178 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.67 0.647 0.631 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/299 14.2G 0.0179 0.01411 0.0001914 180 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.726 0.636 0.685 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/299 14.2G 0.01804 0.01403 0.0001916 117 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.905 0.578 0.694 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
150/299 14.2G 0.01797 0.01438 0.0001581 92 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.69 0.611 0.634 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
151/299 14.2G 0.018 0.01472 0.0001374 150 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.824 0.594 0.681 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
152/299 14.2G 0.01783 0.01383 0.0001665 71 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.616 0.623 0.615 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
153/299 14.2G 0.01755 0.01477 0.0001788 164 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.621 0.616 0.623 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
154/299 14.2G 0.01792 0.01432 0.0001634 109 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.712 0.552 0.607 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
155/299 14.2G 0.01825 0.01398 0.0001521 118 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.723 0.546 0.606 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
156/299 14.2G 0.01788 0.01426 0.0001393 119 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.783 0.56 0.646 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
157/299 14.2G 0.01794 0.01407 0.0001515 146 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.777 0.574 0.65 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
158/299 14.2G 0.01729 0.0138 0.0001621 123 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.51it/s]
all 863 3065 0.619 0.627 0.62 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
159/299 14.2G 0.01745 0.01396 0.0001461 114 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.627 0.657 0.632 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
160/299 14.2G 0.01758 0.01374 0.0001634 152 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.731 0.567 0.637 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
161/299 14.2G 0.01698 0.01362 0.0001581 145 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.676 0.631 0.645 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
162/299 14.2G 0.0171 0.01347 0.0001705 155 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.686 0.607 0.63 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
163/299 14.2G 0.01762 0.01355 0.0001529 90 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.656 0.661 0.639 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
164/299 14.2G 0.01718 0.01348 0.0001669 114 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.613 0.629 0.581 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
165/299 14.2G 0.01723 0.01354 0.0001269 133 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.637 0.585 0.583 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
166/299 14.2G 0.01724 0.0139 0.0001305 106 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.688 0.566 0.595 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
167/299 14.2G 0.01704 0.01364 0.0001236 118 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.694 0.576 0.616 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
168/299 14.2G 0.01708 0.01385 0.0001541 141 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.738 0.575 0.643 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
169/299 14.2G 0.0169 0.01365 0.0001356 118 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.623 0.636 0.63 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
170/299 14.2G 0.01691 0.01376 0.0001172 116 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.616 0.626 0.619 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
171/299 14.2G 0.01707 0.01296 0.0001085 119 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.615 0.648 0.615 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
172/299 14.2G 0.01716 0.01384 0.0001657 241 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.47it/s]
all 863 3065 0.739 0.564 0.643 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
173/299 14.2G 0.01675 0.0135 0.000116 117 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.669 0.587 0.637 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
174/299 14.2G 0.01696 0.01351 0.0001245 86 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.636 0.66 0.649 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
175/299 14.2G 0.01648 0.01345 0.0001229 121 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.657 0.633 0.652 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
176/299 14.2G 0.01652 0.01311 0.0001571 89 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.708 0.583 0.655 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
177/299 14.2G 0.01652 0.01289 0.000173 53 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.817 0.544 0.654 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
178/299 14.2G 0.01622 0.01331 0.0001166 127 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.738 0.579 0.666 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
179/299 14.2G 0.01654 0.01298 0.0001276 83 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.643 0.676 0.659 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
180/299 14.2G 0.0166 0.0132 0.00014 157 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.662 0.601 0.642 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
181/299 14.2G 0.01706 0.01366 0.0001268 121 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.668 0.601 0.636 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
182/299 14.2G 0.01641 0.01285 0.000154 144 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.615 0.676 0.617 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
183/299 14.2G 0.01621 0.01349 0.0001403 130 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.707 0.551 0.625 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
184/299 14.2G 0.01655 0.01312 0.0001057 135 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.698 0.556 0.638 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
185/299 14.2G 0.01603 0.01291 0.0001192 143 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.606 0.644 0.62 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
186/299 14.2G 0.0163 0.01269 0.0001222 123 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.637 0.629 0.647 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
187/299 14.2G 0.0158 0.01263 0.0001058 124 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.51it/s]
all 863 3065 0.629 0.653 0.647 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
188/299 14.2G 0.01637 0.01353 9.19e-05 139 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.627 0.647 0.647 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
189/299 14.2G 0.01604 0.01312 0.0001278 113 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.634 0.663 0.647 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
190/299 14.2G 0.01617 0.01293 0.000109 101 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.634 0.656 0.643 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
191/299 14.2G 0.01604 0.01273 0.0001235 78 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.617 0.644 0.629 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
192/299 14.2G 0.01594 0.01295 9.465e-05 145 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.613 0.653 0.631 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
193/299 14.2G 0.01598 0.01306 9.85e-05 123 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.696 0.565 0.656 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
194/299 14.2G 0.01585 0.01274 9.529e-05 171 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.714 0.562 0.631 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
195/299 14.2G 0.01571 0.01264 0.0001188 154 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.701 0.569 0.626 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
196/299 14.2G 0.01581 0.01276 0.0001029 114 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.711 0.568 0.632 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
197/299 14.2G 0.01547 0.01246 8.325e-05 99 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.51it/s]
all 863 3065 0.76 0.566 0.631 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
198/299 14.2G 0.01531 0.01236 0.0001206 140 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.745 0.553 0.629 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
199/299 14.2G 0.01562 0.0123 0.0001019 137 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.696 0.553 0.605 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
200/299 14.2G 0.01548 0.01275 0.0001299 79 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.703 0.56 0.604 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
201/299 14.2G 0.0157 0.01241 0.0001256 74 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.725 0.548 0.606 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
202/299 14.2G 0.01479 0.01207 9.674e-05 89 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.48it/s]
all 863 3065 0.705 0.538 0.617 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
203/299 14.2G 0.01528 0.01218 0.0001309 72 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.706 0.563 0.611 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
204/299 14.2G 0.01528 0.01256 0.0001057 137 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.51it/s]
all 863 3065 0.682 0.558 0.594 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
205/299 14.2G 0.01584 0.01271 0.0001098 74 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.696 0.563 0.614 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
206/299 14.2G 0.01516 0.01233 0.000106 114 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.709 0.558 0.622 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
207/299 14.2G 0.01598 0.01284 0.000116 89 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.747 0.563 0.636 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
208/299 14.2G 0.0155 0.01244 0.000197 103 640: 100% 78/78 [00:55<00:00, 1.40it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.727 0.552 0.631 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
209/299 14.2G 0.01501 0.01215 0.0001245 108 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.75 0.562 0.636 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
210/299 14.2G 0.0152 0.01223 0.0001458 100 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.792 0.58 0.658 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
211/299 14.2G 0.01507 0.01229 0.0001145 126 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.801 0.57 0.654 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
212/299 14.2G 0.01496 0.01291 0.0001055 117 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.50it/s]
all 863 3065 0.821 0.585 0.666 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
213/299 14.2G 0.01523 0.01218 8.26e-05 107 640: 100% 78/78 [00:56<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.50it/s]
all 863 3065 0.757 0.584 0.658 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
214/299 14.2G 0.01505 0.01207 0.0001152 119 640: 100% 78/78 [00:55<00:00, 1.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:10<00:00, 1.49it/s]
all 863 3065 0.722 0.58 0.652 0.437
Stopping training early as no improvement observed in last 100 epochs. Best results observed at epoch 114, best model saved as best.pt.
To update EarlyStopping(patience=100) pass a new patience value, i.e. `python train.py --patience 300` or use `--patience 0` to disable EarlyStopping.
215 epochs completed in 3.997 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/weights/last.pt, 42.1MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/weights/best.pt, 42.1MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/weights/best.pt...
Fusing layers...
Model summary: 212 layers, 20856975 parameters, 0 gradients, 47.9 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:11<00:00, 1.28it/s]
all 863 3065 0.819 0.629 0.707 0.447
plane 863 2995 0.979 0.802 0.911 0.681
helicopter 863 70 0.658 0.457 0.502 0.214
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData
Modell 12#
!python train.py --weights yolov5l.pt --epochs 150 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile30_Lmod_Background_Tiled_TrainingData --cache
train: weights=yolov5l.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=150, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile30_Lmod_Background_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (A100-SXM4-40GB, 40536MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
2022-10-28 14:09:58.870381: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...
100% 755k/755k [00:00<00:00, 4.39MB/s]
Downloading https://github.com/ultralytics/yolov5/releases/download/v6.2/yolov5l.pt to yolov5l.pt...
100% 89.3M/89.3M [00:01<00:00, 56.7MB/s]
Overriding model.yaml nc=80 with nc=2
from n params module arguments
0 -1 1 7040 models.common.Conv [3, 64, 6, 2, 2]
1 -1 1 73984 models.common.Conv [64, 128, 3, 2]
2 -1 3 156928 models.common.C3 [128, 128, 3]
3 -1 1 295424 models.common.Conv [128, 256, 3, 2]
4 -1 6 1118208 models.common.C3 [256, 256, 6]
5 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
6 -1 9 6433792 models.common.C3 [512, 512, 9]
7 -1 1 4720640 models.common.Conv [512, 1024, 3, 2]
8 -1 3 9971712 models.common.C3 [1024, 1024, 3]
9 -1 1 2624512 models.common.SPPF [1024, 1024, 5]
10 -1 1 525312 models.common.Conv [1024, 512, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 3 2757632 models.common.C3 [1024, 512, 3, False]
14 -1 1 131584 models.common.Conv [512, 256, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 3 690688 models.common.C3 [512, 256, 3, False]
18 -1 1 590336 models.common.Conv [256, 256, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 3 2495488 models.common.C3 [512, 512, 3, False]
21 -1 1 2360320 models.common.Conv [512, 512, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 3 9971712 models.common.C3 [1024, 1024, 3, False]
24 [17, 20, 23] 1 37695 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [256, 512, 1024]]
Model summary: 368 layers, 46143679 parameters, 46143679 gradients, 108.2 GFLOPs
Transferred 607/613 items from yolov5l.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.01) with parameter groups 101 weight(decay=0.0), 104 weight(decay=0.00046875), 104 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.8GB ram): 100% 2331/2331 [01:15<00:00, 30.94it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
val: Caching images (1.0GB ram): 100% 863/863 [00:10<00:00, 82.54it/s]
AutoAnchor: 5.22 anchors/target, 0.974 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7494: 100% 1000/1000 [00:01<00:00, 714.21it/s]
AutoAnchor: thr=0.25: 0.9714 best possible recall, 6.14 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.391/0.753-mean/best, past_thr=0.502-mean: 16,15, 37,31, 22,71, 46,57, 72,62, 120,54, 68,96, 126,119, 229,207
AutoAnchor: Done ⚠️ (original anchors better than new anchors, proceeding with original anchors)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile30_Lmod_Background_Tiled_TrainingData/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile30_Lmod_Background_Tiled_TrainingData
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 16.7G 0.08316 0.04434 0.01282 123 640: 100% 78/78 [00:25<00:00, 3.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:08<00:00, 1.82it/s]
all 863 3065 0.717 0.242 0.214 0.1
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 19.7G 0.06231 0.03159 0.006038 117 640: 100% 78/78 [00:19<00:00, 3.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.34it/s]
all 863 3065 0.742 0.286 0.283 0.12
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 19.7G 0.05767 0.02751 0.0042 113 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.47it/s]
all 863 3065 0.779 0.332 0.281 0.108
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 19.7G 0.04929 0.02701 0.003353 106 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.54it/s]
all 863 3065 0.312 0.337 0.322 0.159
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 19.7G 0.04467 0.0252 0.002547 110 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.51it/s]
all 863 3065 0.423 0.452 0.434 0.248
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 19.7G 0.04069 0.02513 0.002602 137 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.54it/s]
all 863 3065 0.517 0.419 0.42 0.255
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 19.7G 0.03871 0.02536 0.002088 145 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.561 0.547 0.531 0.343
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 19.7G 0.03718 0.02398 0.001588 96 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.51it/s]
all 863 3065 0.573 0.472 0.47 0.296
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 19.7G 0.03603 0.02304 0.001455 86 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.53it/s]
all 863 3065 0.625 0.489 0.502 0.321
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 19.7G 0.03437 0.02369 0.001462 82 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.53it/s]
all 863 3065 0.695 0.447 0.54 0.341
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 19.7G 0.03336 0.02214 0.001268 126 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.882 0.451 0.528 0.351
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 19.7G 0.03248 0.02255 0.001267 80 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.54it/s]
all 863 3065 0.665 0.446 0.485 0.325
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 19.7G 0.03265 0.02241 0.001052 98 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.648 0.492 0.507 0.333
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 19.7G 0.0321 0.02293 0.0008938 158 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.643 0.535 0.557 0.348
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 19.7G 0.03144 0.02122 0.000846 76 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.54it/s]
all 863 3065 0.707 0.597 0.585 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 19.7G 0.03098 0.02107 0.0008522 121 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.62 0.52 0.54 0.366
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 19.7G 0.02942 0.02112 0.0007631 159 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.572 0.561 0.52 0.341
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 19.7G 0.02942 0.02052 0.0007698 97 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.569 0.546 0.534 0.341
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 19.7G 0.02873 0.02035 0.0006469 104 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.725 0.5 0.545 0.366
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 19.7G 0.02921 0.0201 0.0007585 137 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.51it/s]
all 863 3065 0.635 0.548 0.583 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 19.7G 0.02879 0.02097 0.0006108 119 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.633 0.542 0.561 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 19.7G 0.02873 0.02132 0.001009 59 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.739 0.526 0.591 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 19.7G 0.02796 0.01997 0.0006232 99 640: 100% 78/78 [00:19<00:00, 3.98it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.54it/s]
all 863 3065 0.549 0.582 0.512 0.338
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 19.7G 0.02848 0.02036 0.0006459 110 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.586 0.581 0.547 0.369
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 19.7G 0.02709 0.02018 0.0006633 115 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.649 0.537 0.558 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 19.7G 0.02674 0.02001 0.0004963 113 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.585 0.569 0.558 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 19.7G 0.02662 0.01924 0.0004723 92 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.773 0.559 0.601 0.387
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 19.7G 0.02672 0.01957 0.0004935 188 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.828 0.584 0.65 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 19.7G 0.02596 0.01907 0.0006082 116 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.48it/s]
all 863 3065 0.552 0.64 0.58 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 19.7G 0.02654 0.01934 0.0005943 144 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.53it/s]
all 863 3065 0.624 0.553 0.563 0.375
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 19.7G 0.02585 0.01908 0.0005434 83 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.642 0.647 0.604 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 19.7G 0.02585 0.01955 0.0003971 128 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.681 0.586 0.598 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 19.7G 0.02506 0.01871 0.0004583 147 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.58 0.638 0.587 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 19.7G 0.02553 0.01882 0.000654 87 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.622 0.511 0.555 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 19.7G 0.02508 0.0184 0.0004355 127 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.48it/s]
all 863 3065 0.808 0.636 0.686 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 19.7G 0.02486 0.01841 0.0004845 120 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.592 0.623 0.591 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 19.7G 0.0241 0.01856 0.0003591 109 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.799 0.556 0.643 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 19.7G 0.02428 0.01837 0.0003567 105 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.786 0.573 0.631 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 19.7G 0.02406 0.01791 0.0004215 90 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.744 0.58 0.657 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 19.7G 0.02411 0.01766 0.0003817 84 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.715 0.594 0.628 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 19.7G 0.02367 0.01799 0.0004628 105 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.658 0.594 0.616 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 19.7G 0.02381 0.01787 0.0003233 128 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.659 0.616 0.607 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 19.7G 0.02372 0.01821 0.0003637 115 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.633 0.611 0.586 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 19.7G 0.02342 0.01736 0.0002968 113 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.636 0.637 0.613 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 19.7G 0.02273 0.01719 0.0003003 156 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.53it/s]
all 863 3065 0.701 0.606 0.629 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 19.7G 0.02308 0.01713 0.0002804 117 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.62 0.623 0.584 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 19.7G 0.02276 0.01794 0.0003785 118 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.743 0.55 0.61 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 19.7G 0.02265 0.01704 0.0002798 130 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.643 0.659 0.607 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 19.7G 0.02265 0.01734 0.0003258 107 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.647 0.605 0.6 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 19.7G 0.02224 0.01734 0.0003116 83 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.869 0.546 0.616 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 19.7G 0.02227 0.01698 0.0003359 135 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.87 0.575 0.691 0.443
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 19.7G 0.02216 0.01711 0.0003223 132 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.602 0.586 0.578 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 19.7G 0.0221 0.01721 0.0003877 118 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.732 0.701 0.683 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 19.7G 0.02211 0.01641 0.0003398 168 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.613 0.637 0.573 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 19.7G 0.02205 0.0168 0.000275 175 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.58it/s]
all 863 3065 0.673 0.639 0.65 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 19.7G 0.02151 0.01665 0.000273 142 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.668 0.631 0.636 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 19.7G 0.02156 0.01592 0.0002618 93 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.49it/s]
all 863 3065 0.575 0.601 0.553 0.385
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 19.7G 0.02088 0.01601 0.0002715 108 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.777 0.589 0.642 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 19.7G 0.02124 0.01666 0.0002817 157 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.666 0.574 0.61 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 19.7G 0.02166 0.01687 0.0002442 101 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.694 0.637 0.665 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 19.7G 0.02097 0.01594 0.0003145 87 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.55it/s]
all 863 3065 0.7 0.574 0.611 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 19.7G 0.0213 0.01566 0.000266 85 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.624 0.618 0.592 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 19.7G 0.02049 0.01586 0.0002391 113 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.701 0.653 0.642 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 19.7G 0.02001 0.01539 0.000324 113 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.633 0.639 0.594 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 19.7G 0.02112 0.01643 0.0003805 99 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.797 0.63 0.691 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 19.7G 0.02019 0.01539 0.0002144 86 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.58it/s]
all 863 3065 0.871 0.607 0.669 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 19.7G 0.02013 0.01555 0.0002589 111 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.58it/s]
all 863 3065 0.698 0.593 0.633 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 19.7G 0.02037 0.0158 0.0002365 116 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.686 0.598 0.601 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 19.7G 0.02042 0.01549 0.0003232 149 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.736 0.578 0.624 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 19.7G 0.0198 0.01632 0.0002722 99 640: 100% 78/78 [00:19<00:00, 3.94it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.52it/s]
all 863 3065 0.728 0.611 0.635 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 19.7G 0.01951 0.01552 0.0001827 114 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.757 0.613 0.673 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 19.7G 0.02005 0.01528 0.0001986 86 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.77 0.629 0.665 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 19.7G 0.02 0.01552 0.0002287 152 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.77 0.612 0.673 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 19.7G 0.01937 0.01565 0.0002222 109 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.65 0.648 0.65 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 19.7G 0.01917 0.0153 0.0001786 162 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.65 0.671 0.641 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 19.7G 0.0192 0.01517 0.0001889 168 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.661 0.682 0.647 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 19.7G 0.01913 0.01504 0.0002035 100 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.758 0.563 0.659 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 19.7G 0.01901 0.01515 0.0002078 106 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.696 0.657 0.673 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 19.7G 0.01922 0.01463 0.0002184 153 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.754 0.645 0.694 0.447
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 19.7G 0.01847 0.01473 0.0002373 113 640: 100% 78/78 [00:19<00:00, 3.98it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.692 0.627 0.649 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 19.7G 0.01925 0.01476 0.0001726 153 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.765 0.658 0.695 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 19.7G 0.01822 0.01431 0.0002399 95 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.58it/s]
all 863 3065 0.871 0.622 0.703 0.459
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 19.7G 0.01843 0.01453 0.0001874 155 640: 100% 78/78 [00:19<00:00, 3.98it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.84 0.623 0.715 0.464
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 19.7G 0.01864 0.01424 0.0002727 100 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.75 0.628 0.665 0.441
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 19.7G 0.01809 0.01461 0.0001918 127 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.891 0.585 0.669 0.438
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 19.7G 0.01824 0.0144 0.0001853 110 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.784 0.632 0.673 0.44
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 19.7G 0.01806 0.01382 0.0001563 115 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.678 0.646 0.63 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 19.7G 0.01792 0.01437 0.0001513 95 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.769 0.6 0.661 0.444
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 19.7G 0.01774 0.01439 0.0001644 139 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.76 0.682 0.728 0.466
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 19.7G 0.01792 0.01433 0.0001796 82 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.797 0.66 0.687 0.441
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 19.7G 0.01792 0.01421 0.0001385 93 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.56it/s]
all 863 3065 0.762 0.61 0.675 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 19.7G 0.01754 0.01413 0.0001305 147 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.751 0.613 0.671 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 19.7G 0.01773 0.014 0.0001553 235 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.83 0.635 0.704 0.443
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 19.7G 0.01723 0.01365 0.0001388 127 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.821 0.623 0.7 0.453
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 19.7G 0.01698 0.01361 0.000148 102 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.803 0.597 0.682 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 19.7G 0.01706 0.01351 0.0001457 101 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.767 0.632 0.677 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 19.7G 0.01728 0.01413 0.0001293 143 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.58it/s]
all 863 3065 0.805 0.583 0.675 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 19.7G 0.01672 0.01353 0.0001279 152 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.749 0.595 0.663 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 19.7G 0.01711 0.01413 0.0001209 91 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.724 0.689 0.711 0.449
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 19.7G 0.0165 0.01342 0.000112 128 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.823 0.606 0.693 0.445
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 19.7G 0.01668 0.01337 0.0001482 83 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.713 0.628 0.663 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 19.7G 0.01649 0.01334 0.0001293 109 640: 100% 78/78 [00:19<00:00, 3.98it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.59it/s]
all 863 3065 0.733 0.608 0.666 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 19.7G 0.01662 0.01296 0.0001215 118 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.647 0.642 0.648 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 19.7G 0.01652 0.01278 0.0001268 106 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.83 0.566 0.682 0.437
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 19.7G 0.01612 0.0128 0.0001089 135 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.744 0.606 0.661 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 19.7G 0.01608 0.01335 0.0001054 88 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.765 0.618 0.685 0.447
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 19.7G 0.01579 0.01284 0.0001326 90 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.739 0.568 0.656 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 19.7G 0.01627 0.01291 0.000202 142 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.685 0.657 0.666 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 19.7G 0.01569 0.01268 0.000118 82 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.713 0.678 0.705 0.455
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 19.7G 0.01602 0.01279 0.0001004 111 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.758 0.62 0.679 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 19.7G 0.01578 0.01264 0.0001004 94 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.702 0.616 0.663 0.438
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 19.7G 0.01562 0.01286 0.0001182 167 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.704 0.671 0.673 0.437
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 19.7G 0.01542 0.01242 8.714e-05 157 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.803 0.62 0.703 0.452
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 19.7G 0.01507 0.01236 8.575e-05 94 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.784 0.61 0.685 0.451
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 19.7G 0.01544 0.01227 0.0001067 132 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.808 0.598 0.705 0.454
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 19.7G 0.01525 0.01234 0.0001158 115 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.786 0.6 0.7 0.456
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 19.7G 0.01532 0.0123 9.675e-05 121 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.797 0.624 0.708 0.441
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 19.7G 0.01549 0.01262 9.556e-05 197 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.81 0.631 0.716 0.448
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 19.7G 0.01496 0.01236 7.896e-05 105 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.736 0.643 0.699 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 19.7G 0.01468 0.01233 7.539e-05 107 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.677 0.673 0.671 0.445
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 19.7G 0.01497 0.01242 0.0002784 92 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.739 0.606 0.681 0.448
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 19.7G 0.01466 0.01183 0.0001049 82 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.638 0.674 0.672 0.443
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 19.7G 0.01503 0.01196 9.925e-05 87 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.703 0.586 0.657 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 19.7G 0.01485 0.012 0.0001057 213 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.744 0.614 0.688 0.453
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 19.7G 0.01456 0.01236 8.11e-05 137 640: 100% 78/78 [00:19<00:00, 3.99it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.732 0.598 0.661 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 19.7G 0.01443 0.01221 9.761e-05 155 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.72 0.594 0.653 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 19.7G 0.01461 0.012 8.963e-05 151 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.727 0.6 0.665 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 19.7G 0.01439 0.01161 9.207e-05 133 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.681 0.635 0.667 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 19.7G 0.01386 0.0111 7.097e-05 82 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.72 0.627 0.676 0.45
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 19.7G 0.01396 0.01153 5.311e-05 80 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.726 0.607 0.674 0.445
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 19.7G 0.01403 0.0116 6.774e-05 131 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.733 0.6 0.665 0.445
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 19.7G 0.01403 0.0117 6.5e-05 69 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.712 0.624 0.668 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 19.7G 0.01384 0.01147 8.925e-05 155 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.673 0.653 0.671 0.448
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 19.7G 0.01361 0.01138 8.649e-05 139 640: 100% 78/78 [00:19<00:00, 4.01it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.708 0.604 0.666 0.447
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 19.7G 0.0135 0.01083 8.222e-05 122 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.733 0.596 0.675 0.448
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 19.7G 0.01382 0.0112 7.538e-05 117 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.65it/s]
all 863 3065 0.771 0.604 0.689 0.451
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 19.7G 0.01353 0.01104 5.303e-05 150 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.766 0.595 0.674 0.444
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 19.7G 0.01374 0.0113 7.802e-05 163 640: 100% 78/78 [00:19<00:00, 4.00it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.62it/s]
all 863 3065 0.746 0.582 0.67 0.447
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 19.7G 0.01328 0.01084 6.588e-05 112 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.61it/s]
all 863 3065 0.642 0.657 0.66 0.444
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 19.7G 0.01371 0.01105 9.562e-05 97 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.642 0.682 0.669 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 19.7G 0.0133 0.01083 5.972e-05 82 640: 100% 78/78 [00:19<00:00, 4.02it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.641 0.673 0.668 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 19.7G 0.01326 0.01121 7.142e-05 102 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.773 0.587 0.669 0.443
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 19.7G 0.01295 0.01055 6.811e-05 84 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.747 0.597 0.676 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 19.7G 0.01343 0.01081 4.983e-05 176 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.754 0.586 0.676 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 19.7G 0.01262 0.01065 4.843e-05 123 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.761 0.597 0.68 0.448
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 19.7G 0.01309 0.01029 5.475e-05 82 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.64it/s]
all 863 3065 0.77 0.597 0.684 0.45
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 19.7G 0.01333 0.01101 5.115e-05 135 640: 100% 78/78 [00:19<00:00, 4.04it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.63it/s]
all 863 3065 0.761 0.59 0.674 0.446
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 19.7G 0.01264 0.01046 5.691e-05 178 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.57it/s]
all 863 3065 0.766 0.598 0.683 0.45
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 19.7G 0.01272 0.0104 6.398e-05 180 640: 100% 78/78 [00:19<00:00, 4.05it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.65it/s]
all 863 3065 0.782 0.608 0.686 0.454
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 19.7G 0.01282 0.01051 5.087e-05 117 640: 100% 78/78 [00:19<00:00, 4.03it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.60it/s]
all 863 3065 0.785 0.597 0.684 0.452
150 epochs completed in 1.117 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile30_Lmod_Background_Tiled_TrainingData/weights/last.pt, 92.7MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile30_Lmod_Background_Tiled_TrainingData/weights/best.pt, 92.7MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile30_Lmod_Background_Tiled_TrainingData/weights/best.pt...
Fusing layers...
Model summary: 267 layers, 46113663 parameters, 0 gradients, 107.7 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 1.98it/s]
all 863 3065 0.76 0.682 0.728 0.466
plane 863 2995 0.97 0.835 0.917 0.69
helicopter 863 70 0.55 0.529 0.539 0.242
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile30_Lmod_Background_Tiled_TrainingData
Modell 13#
!python train.py --weights yolov5x.pt --epochs 150 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile31_XLmod_Background_Tiled_TrainingData --cache
train: weights=yolov5x.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=150, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile31_XLmod_Background_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
remote: Enumerating objects: 3, done.
remote: Counting objects: 100% (3/3), done.
remote: Compressing objects: 100% (3/3), done.
remote: Total 3 (delta 0), reused 0 (delta 0), pack-reused 0
Unpacking objects: 100% (3/3), done.
From https://github.com/ultralytics/yolov5
* [new branch] update/banner -> origin/update/banner
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-211-g32a9218 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (A100-SXM4-40GB, 40536MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
2022-10-28 15:22:28.436587: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Downloading https://github.com/ultralytics/yolov5/releases/download/v6.2/yolov5x.pt to yolov5x.pt...
100% 166M/166M [00:03<00:00, 47.9MB/s]
Overriding model.yaml nc=80 with nc=2
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 47103 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [320, 640, 1280]]
Model summary: 445 layers, 86224543 parameters, 86224543 gradients, 204.6 GFLOPs
Transferred 739/745 items from yolov5x.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.01) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.00046875), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.8GB ram): 100% 2331/2331 [00:06<00:00, 359.32it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
val: Caching images (1.0GB ram): 100% 863/863 [00:02<00:00, 336.72it/s]
AutoAnchor: 5.22 anchors/target, 0.974 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7494: 100% 1000/1000 [00:01<00:00, 725.06it/s]
AutoAnchor: thr=0.25: 0.9714 best possible recall, 6.14 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.391/0.753-mean/best, past_thr=0.502-mean: 16,15, 37,31, 22,71, 46,57, 72,62, 120,54, 68,96, 126,119, 229,207
AutoAnchor: Done ⚠️ (original anchors better than new anchors, proceeding with original anchors)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.6G 0.08096 0.04332 0.01252 123 640: 100% 78/78 [00:35<00:00, 2.20it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:08<00:00, 1.77it/s]
all 863 3065 0.765 0.272 0.267 0.113
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 27.4G 0.06266 0.03051 0.005185 117 640: 100% 78/78 [00:29<00:00, 2.62it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 1.99it/s]
all 863 3065 0.768 0.296 0.295 0.122
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 27.4G 0.05741 0.02669 0.003659 113 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.497 0.415 0.377 0.16
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 27.4G 0.04813 0.02673 0.003775 106 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.424 0.438 0.41 0.222
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 27.4G 0.04376 0.02489 0.002552 110 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.432 0.4 0.418 0.261
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 27.4G 0.04011 0.02436 0.002452 137 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.66 0.463 0.491 0.315
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 27.4G 0.03825 0.02474 0.001976 145 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.559 0.5 0.489 0.308
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 27.4G 0.0364 0.02356 0.001534 96 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.586 0.452 0.459 0.298
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 27.4G 0.03557 0.02303 0.001467 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.605 0.511 0.518 0.328
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 27.4G 0.0346 0.02347 0.001374 82 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.709 0.479 0.522 0.354
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 27.4G 0.03329 0.02171 0.001206 126 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.698 0.471 0.518 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 27.4G 0.03237 0.0221 0.001203 80 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.645 0.491 0.544 0.36
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 27.4G 0.03164 0.02195 0.001036 98 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.05it/s]
all 863 3065 0.643 0.513 0.516 0.337
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 27.4G 0.03187 0.02266 0.0009892 158 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.591 0.584 0.577 0.37
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 27.4G 0.03105 0.02099 0.0008959 76 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.672 0.672 0.606 0.366
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 27.4G 0.03034 0.02079 0.0009803 121 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.786 0.462 0.535 0.366
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 27.4G 0.02982 0.02097 0.0008711 159 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.665 0.542 0.542 0.371
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 27.4G 0.02884 0.02011 0.0007788 97 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.537 0.553 0.495 0.342
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 27.4G 0.02823 0.01992 0.0005977 104 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.741 0.563 0.605 0.372
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 27.4G 0.02887 0.01991 0.0008288 137 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.593 0.578 0.529 0.349
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 27.4G 0.02829 0.0207 0.0006835 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.648 0.562 0.573 0.366
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 27.4G 0.02766 0.02072 0.0006487 59 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.637 0.465 0.541 0.368
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 27.4G 0.02731 0.01932 0.0005461 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.584 0.618 0.549 0.351
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 27.4G 0.02792 0.01971 0.0005916 110 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.631 0.578 0.584 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 27.4G 0.02657 0.01972 0.000605 115 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.685 0.539 0.553 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 27.4G 0.02574 0.01937 0.0005485 113 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.764 0.541 0.604 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 27.4G 0.02612 0.01873 0.0004828 92 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.647 0.62 0.623 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 27.4G 0.02556 0.01891 0.0004924 188 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.829 0.567 0.628 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 27.4G 0.02555 0.01836 0.0004284 116 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.626 0.605 0.599 0.377
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 27.4G 0.02565 0.01851 0.0004579 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.813 0.6 0.664 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 27.4G 0.02484 0.01827 0.0004303 83 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.63 0.601 0.604 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 27.4G 0.02532 0.01896 0.0004052 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.677 0.58 0.596 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 27.4G 0.02444 0.01811 0.0004199 147 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.848 0.597 0.651 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 27.4G 0.02469 0.01801 0.0005188 87 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.714 0.562 0.584 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 27.4G 0.02413 0.01785 0.0005581 127 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.884 0.592 0.656 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 27.4G 0.02425 0.01801 0.0004821 120 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.614 0.589 0.576 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 27.4G 0.02366 0.01829 0.0004333 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.688 0.545 0.604 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 27.4G 0.02392 0.01817 0.0003412 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.686 0.592 0.62 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 27.4G 0.02358 0.0176 0.0004017 90 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.686 0.583 0.601 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 27.4G 0.02317 0.01723 0.0004371 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.783 0.624 0.672 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 27.4G 0.02264 0.01744 0.000403 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.828 0.602 0.677 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 27.4G 0.02348 0.01752 0.0004704 128 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.542 0.542 0.491 0.354
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 27.4G 0.02281 0.01771 0.000372 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.788 0.59 0.649 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 27.4G 0.02279 0.01687 0.0003162 113 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.602 0.618 0.571 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 27.4G 0.02215 0.01666 0.0003075 156 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.708 0.563 0.601 0.392
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 27.4G 0.02256 0.01665 0.0003283 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.638 0.655 0.63 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 27.4G 0.02206 0.0172 0.0003892 118 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.82 0.543 0.619 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 27.4G 0.02187 0.01644 0.0003289 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.755 0.65 0.714 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 27.4G 0.02206 0.01684 0.0003419 107 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.64 0.619 0.614 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 27.4G 0.02162 0.01668 0.0003214 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.904 0.545 0.63 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 27.4G 0.02163 0.01645 0.0003162 135 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.771 0.515 0.594 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 27.4G 0.02146 0.01646 0.000277 132 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.819 0.576 0.631 0.401
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 27.4G 0.02149 0.01668 0.0003797 118 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.865 0.544 0.64 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 27.4G 0.02123 0.01586 0.0002986 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.59 0.563 0.525 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 27.4G 0.02137 0.01621 0.0002655 175 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.706 0.629 0.651 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 27.4G 0.02067 0.01601 0.0002582 142 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.635 0.679 0.628 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 27.4G 0.02046 0.01537 0.0002742 93 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.624 0.605 0.588 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 27.4G 0.02019 0.01553 0.0002754 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.768 0.566 0.608 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 27.4G 0.02029 0.01601 0.0002806 157 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.732 0.564 0.62 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 27.4G 0.02046 0.01608 0.0002183 101 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.724 0.605 0.614 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 27.4G 0.02041 0.01538 0.0003275 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.676 0.581 0.606 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 27.4G 0.0205 0.01512 0.0002388 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.64 0.604 0.59 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 27.4G 0.0195 0.01522 0.0002063 113 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.72 0.588 0.615 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 27.4G 0.01948 0.01473 0.0002718 113 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.784 0.578 0.628 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 27.4G 0.02026 0.01573 0.0003571 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.681 0.651 0.641 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 27.4G 0.01941 0.01448 0.000241 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.645 0.62 0.581 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 27.4G 0.01931 0.01495 0.0002475 111 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.671 0.603 0.606 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 27.4G 0.01961 0.01501 0.0002441 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.667 0.579 0.579 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 27.4G 0.01954 0.0147 0.0002728 149 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.773 0.547 0.605 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 27.4G 0.01911 0.01557 0.0002338 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.59 0.605 0.541 0.381
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 27.4G 0.01905 0.01492 0.000185 114 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.808 0.559 0.66 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 27.4G 0.01937 0.01462 0.0001895 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.863 0.616 0.693 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 27.4G 0.0192 0.01485 0.0002213 152 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.781 0.577 0.656 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 27.4G 0.01856 0.01496 0.0002012 109 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.657 0.605 0.618 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 27.4G 0.01861 0.01483 0.000324 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.673 0.636 0.646 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 27.4G 0.01841 0.01451 0.0001725 168 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.776 0.552 0.618 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 27.4G 0.01822 0.01443 0.0002041 100 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.734 0.561 0.623 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 27.4G 0.01812 0.01442 0.0001811 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.776 0.575 0.659 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 27.4G 0.01809 0.01383 0.0002191 153 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.85 0.668 0.739 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 27.4G 0.01781 0.01408 0.0002309 113 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.651 0.569 0.596 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 27.4G 0.01792 0.01395 0.0001857 153 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.678 0.631 0.632 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 27.4G 0.01766 0.01377 0.0002215 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.637 0.624 0.601 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 27.4G 0.01748 0.01385 0.0002076 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.738 0.642 0.693 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 27.4G 0.01765 0.01351 0.0002358 100 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.619 0.649 0.605 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 27.4G 0.01707 0.01379 0.0001723 127 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.609 0.6 0.614 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 27.4G 0.01738 0.01365 0.0002144 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.623 0.674 0.652 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 27.4G 0.01726 0.01317 0.0001694 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.637 0.653 0.617 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 27.4G 0.01716 0.01376 0.0002052 95 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.653 0.65 0.632 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 27.4G 0.01669 0.0136 0.0001455 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.746 0.576 0.651 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 27.4G 0.01699 0.01348 0.0001897 82 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.782 0.588 0.669 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 27.4G 0.01712 0.01344 0.0001581 93 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.684 0.66 0.665 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 27.4G 0.01642 0.01329 0.0001375 147 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.662 0.675 0.638 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 27.4G 0.01677 0.01314 0.0001308 235 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.602 0.622 0.583 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 27.4G 0.01623 0.01289 0.0001469 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.705 0.642 0.681 0.44
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 27.4G 0.01599 0.01291 0.0001501 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.762 0.646 0.702 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 27.4G 0.01616 0.01289 0.000135 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.782 0.615 0.696 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 27.4G 0.01659 0.01342 0.0001457 143 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.73 0.644 0.671 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 27.4G 0.01581 0.0127 0.0001247 152 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.658 0.697 0.686 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 27.4G 0.01621 0.01336 0.0001314 91 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.648 0.649 0.656 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 27.4G 0.01563 0.01267 0.0001071 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.766 0.603 0.679 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 27.4G 0.01551 0.01254 0.000115 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.653 0.656 0.66 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 27.4G 0.01561 0.01259 0.0001121 109 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.693 0.637 0.666 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 27.4G 0.01571 0.01224 0.0001352 118 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.756 0.602 0.656 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 27.4G 0.01541 0.01195 0.0001092 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.716 0.583 0.639 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 27.4G 0.01504 0.01204 0.0001011 135 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.669 0.636 0.646 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 27.4G 0.01512 0.01259 9.49e-05 88 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.718 0.613 0.652 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 27.4G 0.01483 0.01214 0.0001397 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.14it/s]
all 863 3065 0.638 0.623 0.623 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 27.4G 0.01521 0.01214 0.0001489 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.652 0.631 0.645 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 27.4G 0.01461 0.0118 0.0001166 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.778 0.564 0.659 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 27.4G 0.01516 0.01206 0.0001314 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.831 0.59 0.666 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 27.4G 0.01475 0.01182 0.0001281 94 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.799 0.574 0.681 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 27.4G 0.01468 0.01214 0.0001518 167 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.782 0.563 0.665 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 27.4G 0.01445 0.01162 8.93e-05 157 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.856 0.597 0.696 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 27.4G 0.01403 0.0115 8.848e-05 94 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.792 0.554 0.661 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 27.4G 0.01448 0.01144 0.000116 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.728 0.569 0.668 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 27.4G 0.01433 0.01158 0.0001093 115 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.766 0.583 0.67 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 27.4G 0.01437 0.01148 8.849e-05 121 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.812 0.546 0.65 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 27.4G 0.01451 0.01181 0.0001194 197 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.768 0.605 0.685 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 27.4G 0.01388 0.01149 9.014e-05 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.739 0.586 0.664 0.444
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 27.4G 0.01366 0.01149 7.365e-05 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.732 0.566 0.649 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 27.4G 0.0139 0.01157 0.0001108 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.628 0.662 0.654 0.438
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 27.4G 0.01367 0.01108 9.616e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.14it/s]
all 863 3065 0.734 0.609 0.664 0.437
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 27.4G 0.01393 0.01115 9.437e-05 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.732 0.6 0.661 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 27.4G 0.01388 0.01117 0.0001185 213 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.678 0.601 0.635 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 27.4G 0.01348 0.01153 6.988e-05 137 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.614 0.617 0.612 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 27.4G 0.01342 0.01136 8.103e-05 155 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.693 0.55 0.625 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 27.4G 0.0136 0.01119 9.186e-05 151 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.639 0.627 0.63 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 27.4G 0.01334 0.01077 7.87e-05 133 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.696 0.59 0.652 0.438
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 27.4G 0.01277 0.01031 9.039e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.692 0.634 0.657 0.442
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 27.4G 0.01289 0.01072 5.745e-05 80 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.16it/s]
all 863 3065 0.628 0.67 0.654 0.437
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 27.4G 0.01296 0.01069 6.113e-05 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.626 0.647 0.651 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 27.4G 0.01296 0.01084 6.058e-05 69 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.632 0.672 0.665 0.441
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 27.4G 0.0127 0.01059 7.806e-05 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.76 0.574 0.663 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 27.4G 0.01254 0.01049 7.314e-05 139 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.645 0.637 0.641 0.432
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 27.4G 0.01243 0.01012 9.576e-05 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.666 0.614 0.644 0.434
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 27.4G 0.01273 0.01035 8.184e-05 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.741 0.572 0.654 0.437
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 27.4G 0.01238 0.01024 5.316e-05 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.647 0.663 0.669 0.44
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 27.4G 0.01263 0.01044 6.297e-05 163 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.14it/s]
all 863 3065 0.644 0.631 0.648 0.44
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 27.4G 0.01224 0.01006 6.181e-05 112 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.655 0.609 0.641 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 27.4G 0.01264 0.01011 8.771e-05 97 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.14it/s]
all 863 3065 0.605 0.712 0.646 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 27.4G 0.01218 0.009994 6.436e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.63 0.665 0.643 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 27.4G 0.01218 0.01038 6.838e-05 102 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.631 0.642 0.65 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 27.4G 0.01182 0.009699 6.177e-05 84 640: 100% 78/78 [00:29<00:00, 2.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.621 0.638 0.652 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 27.4G 0.01222 0.009981 4.903e-05 176 640: 100% 78/78 [00:29<00:00, 2.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.59 0.709 0.642 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 27.4G 0.01146 0.009736 4.911e-05 123 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.599 0.723 0.659 0.433
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 27.4G 0.01198 0.009429 6.754e-05 82 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.769 0.547 0.657 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 27.4G 0.01226 0.01014 5.429e-05 135 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.836 0.563 0.661 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 27.4G 0.01148 0.009525 4.501e-05 178 640: 100% 78/78 [00:29<00:00, 2.66it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.77 0.562 0.657 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 27.4G 0.01159 0.009447 7.984e-05 180 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.792 0.571 0.66 0.439
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 27.4G 0.01178 0.009597 8.559e-05 117 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:06<00:00, 2.15it/s]
all 863 3065 0.779 0.557 0.662 0.437
150 epochs completed in 1.613 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/last.pt, 173.0MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt, 173.0MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt...
Fusing layers...
Model summary: 322 layers, 86180143 parameters, 0 gradients, 203.8 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:09<00:00, 1.66it/s]
all 863 3065 0.849 0.668 0.74 0.442
plane 863 2995 0.977 0.807 0.923 0.696
helicopter 863 70 0.721 0.529 0.557 0.187
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2
Modell 14#
!python train.py --hyp data/hyps/hyp.VOC.yaml --weights /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/weights/best.pt --epochs 300 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC --cache
train: weights=/content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/weights/best.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.VOC.yaml, epochs=300, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-231-g0039870 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (A100-SXM4-40GB, 40536MiB)
hyperparameters: lr0=0.00334, lrf=0.15135, momentum=0.74832, weight_decay=0.00025, warmup_epochs=3.3835, warmup_momentum=0.59462, warmup_bias_lr=0.18657, box=0.02, cls=0.21638, cls_pw=0.5, obj=0.51728, obj_pw=0.67198, iou_t=0.2, anchor_t=3.3744, fl_gamma=0.0, hsv_h=0.01041, hsv_s=0.54703, hsv_v=0.27739, degrees=0.0, translate=0.04591, scale=0.75544, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.85834, mixup=0.04266, copy_paste=0.0, anchors=3.412
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
2022-11-08 14:36:52.013183: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...
100% 755k/755k [00:00<00:00, 16.8MB/s]
Overriding model.yaml anchors with anchors=3.412
from n params module arguments
0 -1 1 5280 models.common.Conv [3, 48, 6, 2, 2]
1 -1 1 41664 models.common.Conv [48, 96, 3, 2]
2 -1 2 65280 models.common.C3 [96, 96, 2]
3 -1 1 166272 models.common.Conv [96, 192, 3, 2]
4 -1 4 444672 models.common.C3 [192, 192, 4]
5 -1 1 664320 models.common.Conv [192, 384, 3, 2]
6 -1 6 2512896 models.common.C3 [384, 384, 6]
7 -1 1 2655744 models.common.Conv [384, 768, 3, 2]
8 -1 2 4134912 models.common.C3 [768, 768, 2]
9 -1 1 1476864 models.common.SPPF [768, 768, 5]
10 -1 1 295680 models.common.Conv [768, 384, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 2 1182720 models.common.C3 [768, 384, 2, False]
14 -1 1 74112 models.common.Conv [384, 192, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 2 296448 models.common.C3 [384, 192, 2, False]
18 -1 1 332160 models.common.Conv [192, 192, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 2 1035264 models.common.C3 [384, 384, 2, False]
21 -1 1 1327872 models.common.Conv [384, 384, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 2 4134912 models.common.C3 [768, 768, 2, False]
24 [17, 20, 23] 1 28287 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [192, 384, 768]]
Model summary: 291 layers, 20875359 parameters, 20875359 gradients, 48.2 GFLOPs
Transferred 480/481 items from /content/drive/MyDrive/dataset/colab_exports/Zeile29_Mmod_Background_Tiled_TrainingData/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00334) with parameter groups 79 weight(decay=0.0), 82 weight(decay=0.000234375), 82 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:11<00:00, 202.72it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
val: Caching images (0.9GB ram): 100% 863/863 [00:02<00:00, 423.40it/s]
AutoAnchor: 0.05 anchors/target, 0.015 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7432: 100% 1000/1000 [00:01<00:00, 709.75it/s]
AutoAnchor: thr=0.30: 0.9626 best possible recall, 5.39 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.384/0.749-mean/best, past_thr=0.522-mean: 22,19, 37,32, 20,68, 46,57, 73,68, 124,48, 55,125, 127,123, 234,235
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC
Starting training for 300 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/299 11.1G 0.01678 0.01067 0.0003158 177 640: 100% 78/78 [00:19<00:00, 3.91it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.90it/s]
all 863 3065 0.7 0.592 0.64 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/299 13.4G 0.01139 0.0095 0.0002303 121 640: 100% 78/78 [00:14<00:00, 5.27it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.739 0.628 0.67 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/299 13.4G 0.009726 0.008615 0.0001508 103 640: 100% 78/78 [00:14<00:00, 5.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.738 0.62 0.648 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/299 13.4G 0.008789 0.007797 0.0001737 98 640: 100% 78/78 [00:14<00:00, 5.53it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.756 0.61 0.635 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/299 13.4G 0.008314 0.007421 0.0001176 65 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.745 0.62 0.633 0.4
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/299 13.4G 0.008139 0.007326 8.967e-05 129 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.737 0.619 0.631 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/299 13.4G 0.008022 0.007499 0.000127 90 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.737 0.614 0.635 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/299 13.4G 0.007785 0.00701 0.0001236 98 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.753 0.618 0.649 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/299 13.4G 0.007746 0.007139 0.0001569 89 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.763 0.611 0.627 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/299 13.4G 0.007829 0.006869 8.767e-05 99 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.763 0.624 0.618 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/299 13.4G 0.00768 0.007054 8.102e-05 122 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.744 0.632 0.637 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/299 13.4G 0.007641 0.006763 9.456e-05 130 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.769 0.626 0.651 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/299 13.4G 0.007336 0.006734 7.632e-05 127 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.765 0.623 0.645 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/299 13.4G 0.00755 0.006689 7.54e-05 125 640: 100% 78/78 [00:14<00:00, 5.54it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.766 0.633 0.65 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/299 13.4G 0.007465 0.006903 8.097e-05 117 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.771 0.634 0.655 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/299 13.4G 0.007408 0.006467 8.462e-05 114 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.763 0.62 0.64 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/299 13.4G 0.007417 0.006375 6.656e-05 156 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.754 0.622 0.655 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/299 13.4G 0.00738 0.00663 7.134e-05 92 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.762 0.629 0.652 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/299 13.4G 0.007355 0.006144 7.324e-05 93 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.777 0.635 0.648 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/299 13.4G 0.007308 0.006712 7.075e-05 189 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.761 0.621 0.655 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/299 13.4G 0.007374 0.006559 5.736e-05 108 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.737 0.627 0.645 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/299 13.4G 0.007496 0.006587 9.421e-05 130 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.88it/s]
all 863 3065 0.736 0.632 0.651 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/299 13.4G 0.007313 0.006127 6.354e-05 94 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.744 0.631 0.634 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/299 13.4G 0.007252 0.006195 5.164e-05 95 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.751 0.633 0.638 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/299 13.4G 0.007378 0.006395 6.809e-05 183 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.739 0.633 0.652 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/299 13.4G 0.00731 0.006454 6.124e-05 84 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.76 0.64 0.649 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/299 13.4G 0.007238 0.006372 5.847e-05 100 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.742 0.635 0.666 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/299 13.4G 0.00746 0.006519 7.134e-05 129 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.75 0.63 0.645 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/299 13.4G 0.007197 0.006478 7.665e-05 128 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.754 0.619 0.631 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/299 13.4G 0.007081 0.006239 8.484e-05 62 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.752 0.612 0.626 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/299 13.4G 0.007272 0.006531 6.843e-05 74 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.748 0.612 0.627 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/299 13.4G 0.007043 0.006448 5.015e-05 180 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.755 0.621 0.649 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/299 13.4G 0.007203 0.006199 7.73e-05 151 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.75 0.616 0.64 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/299 13.4G 0.00696 0.006143 3.735e-05 101 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.753 0.611 0.65 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/299 13.4G 0.007081 0.006412 7.149e-05 120 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.751 0.609 0.651 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/299 13.4G 0.007044 0.006028 5.867e-05 79 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.745 0.62 0.645 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/299 13.4G 0.00723 0.006248 5.663e-05 133 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.729 0.62 0.641 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/299 13.4G 0.007106 0.006276 5.848e-05 132 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.732 0.622 0.643 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/299 13.4G 0.006986 0.006121 6.344e-05 134 640: 100% 78/78 [00:14<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.764 0.624 0.663 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/299 13.4G 0.006957 0.006242 5.321e-05 75 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.749 0.623 0.656 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/299 13.4G 0.007055 0.006173 7.346e-05 131 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.754 0.607 0.655 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/299 13.4G 0.006994 0.006343 4.228e-05 89 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.748 0.608 0.656 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/299 13.4G 0.007245 0.006341 4.269e-05 142 640: 100% 78/78 [00:14<00:00, 5.54it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.744 0.615 0.651 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/299 13.4G 0.00715 0.006453 8.413e-05 135 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.98it/s]
all 863 3065 0.756 0.609 0.655 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/299 13.4G 0.007015 0.006106 3.797e-05 107 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.744 0.615 0.657 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/299 13.4G 0.007044 0.005849 4.984e-05 132 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.76 0.613 0.658 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/299 13.4G 0.007118 0.006155 5.962e-05 106 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.745 0.62 0.648 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/299 13.4G 0.007061 0.006276 6.064e-05 106 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.753 0.625 0.666 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/299 13.4G 0.006876 0.006116 7.43e-05 130 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.738 0.618 0.659 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/299 13.4G 0.007047 0.006099 6.469e-05 91 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.736 0.617 0.652 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/299 13.4G 0.007002 0.006154 4.929e-05 113 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.746 0.616 0.677 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/299 13.4G 0.007017 0.006226 5.349e-05 136 640: 100% 78/78 [00:14<00:00, 5.53it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.76 0.614 0.668 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/299 13.4G 0.006886 0.005933 3.836e-05 71 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.747 0.608 0.665 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/299 13.4G 0.006996 0.005945 6.367e-05 177 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.741 0.608 0.664 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/299 13.4G 0.006905 0.006185 7.232e-05 104 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.744 0.619 0.658 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/299 13.4G 0.007007 0.006356 3.979e-05 114 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.749 0.617 0.661 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/299 13.4G 0.007156 0.006196 7.158e-05 107 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.743 0.619 0.668 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/299 13.4G 0.006855 0.006006 4.828e-05 122 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.88it/s]
all 863 3065 0.739 0.62 0.671 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/299 13.4G 0.006833 0.005929 6.131e-05 105 640: 100% 78/78 [00:14<00:00, 5.54it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.739 0.613 0.658 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/299 13.4G 0.006957 0.006122 9.717e-05 146 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.736 0.618 0.657 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/299 13.4G 0.006685 0.00589 6.793e-05 107 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.735 0.62 0.662 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/299 13.4G 0.006962 0.006285 3.97e-05 118 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.748 0.616 0.666 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/299 13.4G 0.006977 0.006062 3.865e-05 104 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.744 0.6 0.662 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/299 13.4G 0.006862 0.005901 4.117e-05 97 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.743 0.607 0.656 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/299 13.4G 0.006834 0.006 5.94e-05 66 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.727 0.605 0.641 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/299 13.4G 0.006853 0.006145 4.172e-05 100 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.742 0.628 0.658 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/299 13.4G 0.006873 0.005925 7.698e-05 181 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.751 0.608 0.645 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/299 13.4G 0.006997 0.005878 7.405e-05 157 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.725 0.606 0.649 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/299 13.4G 0.006719 0.005921 5.982e-05 181 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.749 0.609 0.669 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/299 13.4G 0.006737 0.005964 3.92e-05 126 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.741 0.6 0.65 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/299 13.4G 0.007009 0.005889 8.702e-05 96 640: 100% 78/78 [00:14<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.732 0.609 0.636 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/299 13.4G 0.006861 0.005981 6.271e-05 106 640: 100% 78/78 [00:14<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.762 0.62 0.663 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/299 13.4G 0.006746 0.006009 4.263e-05 143 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.753 0.594 0.646 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/299 13.4G 0.006838 0.005906 4.145e-05 164 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.767 0.609 0.662 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/299 13.4G 0.00692 0.005899 9.669e-05 72 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.757 0.605 0.654 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/299 13.4G 0.00682 0.005778 5.745e-05 71 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.755 0.614 0.66 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/299 13.4G 0.006778 0.005777 4.343e-05 143 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.758 0.615 0.674 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/299 13.4G 0.006878 0.006006 5.518e-05 90 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.766 0.611 0.668 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/299 13.4G 0.006769 0.005757 4.307e-05 68 640: 100% 78/78 [00:14<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.735 0.601 0.647 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/299 13.4G 0.00675 0.006111 5.152e-05 137 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.89it/s]
all 863 3065 0.741 0.616 0.659 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/299 13.4G 0.006747 0.005858 7e-05 123 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.88it/s]
all 863 3065 0.749 0.607 0.655 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/299 13.4G 0.006794 0.005752 6.605e-05 85 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.769 0.604 0.671 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/299 13.4G 0.006873 0.005946 6.516e-05 87 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.758 0.597 0.67 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/299 13.4G 0.00686 0.005707 4.874e-05 84 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.786 0.61 0.688 0.43
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/299 13.4G 0.00674 0.005788 6.785e-05 121 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.765 0.595 0.67 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/299 13.4G 0.006805 0.005953 6.581e-05 97 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.766 0.598 0.666 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/299 13.4G 0.006781 0.005946 5.592e-05 135 640: 100% 78/78 [00:14<00:00, 5.41it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.774 0.597 0.668 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/299 13.4G 0.006836 0.006309 6.385e-05 56 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.753 0.607 0.662 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/299 13.4G 0.006703 0.005809 3.203e-05 72 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.713 0.599 0.639 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/299 13.4G 0.006734 0.005769 3.182e-05 142 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.85it/s]
all 863 3065 0.737 0.611 0.65 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/299 13.4G 0.006734 0.005776 7.265e-05 95 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.75 0.616 0.67 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/299 13.4G 0.006892 0.006123 4.988e-05 107 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.744 0.601 0.657 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/299 13.4G 0.006756 0.005971 7.753e-05 69 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.753 0.597 0.662 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/299 13.4G 0.006614 0.006093 4.347e-05 83 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.87it/s]
all 863 3065 0.727 0.608 0.656 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/299 13.4G 0.006767 0.005768 5.501e-05 204 640: 100% 78/78 [00:14<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.753 0.61 0.664 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/299 13.4G 0.006638 0.005642 2.705e-05 99 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.719 0.594 0.641 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/299 13.4G 0.006707 0.005787 3.896e-05 180 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.716 0.628 0.654 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/299 13.4G 0.006812 0.005895 4.423e-05 121 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.84it/s]
all 863 3065 0.691 0.63 0.651 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/299 13.4G 0.006712 0.006003 5.203e-05 172 640: 100% 78/78 [00:14<00:00, 5.37it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.757 0.599 0.668 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/299 13.4G 0.006638 0.005726 5.076e-05 79 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.98it/s]
all 863 3065 0.7 0.652 0.66 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/299 13.4G 0.006665 0.005746 3.955e-05 111 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.707 0.617 0.645 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/299 13.4G 0.006771 0.005888 6.765e-05 162 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.721 0.63 0.655 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/299 13.4G 0.006741 0.00588 4.396e-05 94 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.718 0.625 0.661 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/299 13.4G 0.00673 0.005899 2.725e-05 258 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.73 0.6 0.652 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/299 13.4G 0.006657 0.00574 5.465e-05 132 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.98it/s]
all 863 3065 0.699 0.62 0.651 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/299 13.4G 0.00673 0.005811 3.337e-05 145 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.723 0.591 0.642 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/299 13.4G 0.006563 0.005785 5.454e-05 119 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.75 0.612 0.658 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/299 13.4G 0.006705 0.005818 6.509e-05 130 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.718 0.625 0.656 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/299 13.4G 0.006481 0.005523 3.27e-05 122 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.734 0.632 0.668 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/299 13.4G 0.006755 0.005789 4.706e-05 106 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.781 0.613 0.668 0.425
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/299 13.4G 0.006492 0.00561 3.316e-05 142 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.73 0.624 0.66 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/299 13.4G 0.006645 0.005598 5.848e-05 196 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.728 0.613 0.649 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/299 13.4G 0.006556 0.005573 4.075e-05 141 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.751 0.627 0.666 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/299 13.4G 0.0066 0.005733 3.706e-05 85 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.74 0.606 0.654 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/299 13.4G 0.006622 0.005789 4.525e-05 158 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.726 0.604 0.64 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/299 13.4G 0.00666 0.00591 2.803e-05 89 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.735 0.624 0.662 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/299 13.4G 0.006535 0.005711 5.285e-05 147 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.712 0.62 0.647 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/299 13.4G 0.006396 0.00552 3.098e-05 126 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.732 0.621 0.653 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/299 13.4G 0.006655 0.005901 3.599e-05 119 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.726 0.621 0.654 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/299 13.4G 0.006683 0.005713 5.152e-05 64 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.721 0.615 0.659 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/299 13.4G 0.006744 0.005962 7.84e-05 78 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.748 0.595 0.649 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/299 13.4G 0.006728 0.00602 3.889e-05 186 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.741 0.596 0.645 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/299 13.4G 0.006531 0.005726 4.128e-05 52 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.745 0.602 0.645 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/299 13.4G 0.006668 0.005967 3.145e-05 138 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.762 0.595 0.645 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/299 13.4G 0.006609 0.005663 6.037e-05 128 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.98it/s]
all 863 3065 0.741 0.583 0.646 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/299 13.4G 0.006599 0.005733 5.127e-05 101 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.76 0.584 0.656 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/299 13.4G 0.006653 0.005747 5.958e-05 136 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.762 0.592 0.647 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/299 13.4G 0.006722 0.005859 3.301e-05 91 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.87it/s]
all 863 3065 0.751 0.589 0.641 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/299 13.4G 0.006665 0.005714 5.026e-05 148 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.754 0.592 0.659 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/299 13.4G 0.006572 0.005841 3.111e-05 74 640: 100% 78/78 [00:14<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.758 0.59 0.658 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/299 13.4G 0.006705 0.00578 5.655e-05 129 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.747 0.597 0.659 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/299 13.4G 0.006648 0.005894 5.02e-05 107 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.747 0.592 0.662 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/299 13.4G 0.006536 0.005491 5.269e-05 102 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.772 0.608 0.661 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/299 13.4G 0.006584 0.005794 4.468e-05 145 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.741 0.623 0.66 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/299 13.4G 0.006679 0.005708 3.976e-05 170 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.755 0.593 0.653 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/299 13.4G 0.006774 0.005992 5.015e-05 102 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.761 0.592 0.651 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/299 13.4G 0.006517 0.005558 3.009e-05 205 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.734 0.586 0.645 0.42
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/299 13.4G 0.006753 0.00577 8.296e-05 68 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.731 0.601 0.645 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/299 13.4G 0.006609 0.005737 3.682e-05 94 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.739 0.595 0.65 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/299 13.4G 0.006657 0.005593 2.842e-05 98 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.708 0.612 0.654 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/299 13.4G 0.006584 0.005711 6.227e-05 93 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.90it/s]
all 863 3065 0.7 0.637 0.651 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/299 13.4G 0.006386 0.005553 4.406e-05 126 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.734 0.62 0.653 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/299 13.4G 0.006633 0.006014 4.625e-05 145 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.74 0.614 0.657 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/299 13.4G 0.006415 0.005476 3.923e-05 99 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.732 0.622 0.649 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/299 13.4G 0.006391 0.005508 3.615e-05 147 640: 100% 78/78 [00:14<00:00, 5.38it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.98it/s]
all 863 3065 0.73 0.623 0.649 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/299 13.4G 0.006422 0.005755 6.441e-05 109 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 3.00it/s]
all 863 3065 0.691 0.634 0.64 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/299 13.4G 0.006414 0.005702 2.769e-05 129 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.99it/s]
all 863 3065 0.692 0.632 0.638 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/299 13.4G 0.006448 0.005847 3.358e-05 177 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.692 0.611 0.636 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/299 13.4G 0.006449 0.005638 4.564e-05 175 640: 100% 78/78 [00:14<00:00, 5.40it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 3.00it/s]
all 863 3065 0.695 0.618 0.638 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/299 13.4G 0.00644 0.005615 3.513e-05 218 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.693 0.619 0.633 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
150/299 13.4G 0.006403 0.005799 3.29e-05 114 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.705 0.609 0.643 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
151/299 13.4G 0.006633 0.005712 3.879e-05 83 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.695 0.61 0.637 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
152/299 13.4G 0.006564 0.005862 5.541e-05 180 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.693 0.609 0.626 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
153/299 13.4G 0.006577 0.005612 5.396e-05 119 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.694 0.614 0.625 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
154/299 13.4G 0.006475 0.005693 3.824e-05 155 640: 100% 78/78 [00:14<00:00, 5.53it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.718 0.616 0.64 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
155/299 13.4G 0.006468 0.005782 3.125e-05 106 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.738 0.607 0.636 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
156/299 13.4G 0.006646 0.005863 4.045e-05 138 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.736 0.605 0.639 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
157/299 13.4G 0.006519 0.005882 3.211e-05 180 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.733 0.607 0.635 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
158/299 13.4G 0.006475 0.005811 4.822e-05 98 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.737 0.606 0.632 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
159/299 13.4G 0.006526 0.005724 2.817e-05 110 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.90it/s]
all 863 3065 0.724 0.608 0.632 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
160/299 13.4G 0.00651 0.005724 5.907e-05 162 640: 100% 78/78 [00:14<00:00, 5.51it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.712 0.608 0.636 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
161/299 13.4G 0.006436 0.005621 3.644e-05 129 640: 100% 78/78 [00:14<00:00, 5.50it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.704 0.626 0.631 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
162/299 13.4G 0.006413 0.005749 5.384e-05 158 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.722 0.605 0.626 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
163/299 13.4G 0.006641 0.005843 5.031e-05 80 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.98it/s]
all 863 3065 0.707 0.605 0.623 0.407
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
164/299 13.4G 0.006642 0.005816 6.755e-05 154 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.672 0.632 0.617 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
165/299 13.4G 0.006542 0.005869 5.198e-05 176 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.72 0.594 0.616 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
166/299 13.4G 0.006498 0.00562 5.731e-05 145 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.97it/s]
all 863 3065 0.714 0.595 0.622 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
167/299 13.4G 0.006413 0.005609 2.953e-05 118 640: 100% 78/78 [00:14<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.94it/s]
all 863 3065 0.707 0.598 0.622 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
168/299 13.4G 0.006369 0.005582 0.0001731 127 640: 100% 78/78 [00:14<00:00, 5.49it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.728 0.598 0.632 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
169/299 13.4G 0.006627 0.005735 7.049e-05 96 640: 100% 78/78 [00:14<00:00, 5.52it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.96it/s]
all 863 3065 0.728 0.61 0.632 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
170/299 13.4G 0.006447 0.005649 6.184e-05 95 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.95it/s]
all 863 3065 0.703 0.613 0.621 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
171/299 13.4G 0.006658 0.005808 4.158e-05 93 640: 100% 78/78 [00:14<00:00, 5.47it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.88it/s]
all 863 3065 0.697 0.613 0.619 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
172/299 13.4G 0.006423 0.005572 3.7e-05 214 640: 100% 78/78 [00:14<00:00, 5.39it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.88it/s]
all 863 3065 0.701 0.605 0.621 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
173/299 13.4G 0.006521 0.005639 2.483e-05 136 640: 100% 78/78 [00:14<00:00, 5.38it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.718 0.601 0.622 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
174/299 13.4G 0.006428 0.005493 4.62e-05 106 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.90it/s]
all 863 3065 0.694 0.597 0.622 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
175/299 13.4G 0.00647 0.005582 4.384e-05 104 640: 100% 78/78 [00:14<00:00, 5.42it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.722 0.611 0.635 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
176/299 13.4G 0.006514 0.00562 3.895e-05 160 640: 100% 78/78 [00:14<00:00, 5.48it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.87it/s]
all 863 3065 0.733 0.61 0.646 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
177/299 13.4G 0.006562 0.005505 5.316e-05 108 640: 100% 78/78 [00:14<00:00, 5.38it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.90it/s]
all 863 3065 0.722 0.593 0.645 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
178/299 13.4G 0.006449 0.00571 3.504e-05 169 640: 100% 78/78 [00:14<00:00, 5.43it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.722 0.596 0.642 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
179/299 13.4G 0.00647 0.00566 4.903e-05 117 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.86it/s]
all 863 3065 0.729 0.594 0.642 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
180/299 13.4G 0.006586 0.005634 3.983e-05 138 640: 100% 78/78 [00:14<00:00, 5.45it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.90it/s]
all 863 3065 0.73 0.61 0.643 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
181/299 13.4G 0.006564 0.005603 4.439e-05 119 640: 100% 78/78 [00:14<00:00, 5.37it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.93it/s]
all 863 3065 0.699 0.62 0.631 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
182/299 13.4G 0.006437 0.005562 7.624e-05 79 640: 100% 78/78 [00:14<00:00, 5.46it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.92it/s]
all 863 3065 0.681 0.613 0.619 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
183/299 13.4G 0.006477 0.005813 3.691e-05 103 640: 100% 78/78 [00:14<00:00, 5.44it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:05<00:00, 2.91it/s]
all 863 3065 0.683 0.612 0.623 0.411
Stopping training early as no improvement observed in last 100 epochs. Best results observed at epoch 83, best model saved as best.pt.
To update EarlyStopping(patience=100) pass a new patience value, i.e. `python train.py --patience 300` or use `--patience 0` to disable EarlyStopping.
184 epochs completed in 1.034 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC/weights/last.pt, 42.1MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC/weights/best.pt, 42.1MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC/weights/best.pt...
Fusing layers...
Model summary: 212 layers, 20856975 parameters, 0 gradients, 47.9 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.787 0.61 0.689 0.43
plane 863 2995 0.977 0.777 0.917 0.699
helicopter 863 70 0.596 0.443 0.461 0.161
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile32_Mmod_Background_Tiled_TrainingData_HypVOC
Modell 15#
!python train.py --weights /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt --epochs 300 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile33_XLmod_Background_Tiled_TrainingData --cache
train: weights=/content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt, cfg=, data=planes_and_helicopters_tiles.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=300, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=/content/drive/MyDrive/dataset/colab_exports, name=Zeile33_XLmod_Background_Tiled_TrainingData, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: up to date with https://github.com/ultralytics/yolov5 ✅
YOLOv5 🚀 v6.2-231-g0039870 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (A100-SXM4-40GB, 40536MiB)
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
TensorBoard: Start with 'tensorboard --logdir /content/drive/MyDrive/dataset/colab_exports', view at http://localhost:6006/
2022-11-08 16:36:46.975472: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 47103 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [320, 640, 1280]]
Model summary: 445 layers, 86224543 parameters, 86224543 gradients, 204.6 GFLOPs
Transferred 745/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.01) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.00046875), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 406.65it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
val: Caching images (0.9GB ram): 100% 863/863 [00:02<00:00, 420.97it/s]
AutoAnchor: 5.22 anchors/target, 0.974 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7455: 100% 1000/1000 [00:01<00:00, 638.02it/s]
AutoAnchor: thr=0.25: 0.9707 best possible recall, 6.10 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.382/0.749-mean/best, past_thr=0.490-mean: 20,17, 37,32, 22,70, 48,55, 73,66, 127,49, 51,135, 120,119, 231,229
AutoAnchor: Done ⚠️ (original anchors better than new anchors, proceeding with original anchors)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile33_XLmod_Background_Tiled_TrainingData2/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile33_XLmod_Background_Tiled_TrainingData2
Starting training for 300 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/299 23.6G 0.01774 0.01374 0.00018 123 640: 100% 78/78 [00:35<00:00, 2.22it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.838 0.65 0.726 0.431
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/299 27.4G 0.02028 0.01418 0.0002014 117 640: 100% 78/78 [00:29<00:00, 2.64it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.883 0.645 0.723 0.445
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/299 27.4G 0.02286 0.01492 0.0003169 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.903 0.556 0.617 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/299 27.4G 0.02364 0.0167 0.0003585 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.597 0.557 0.574 0.368
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/299 27.4G 0.02364 0.0165 0.0004064 110 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.625 0.589 0.58 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/299 27.4G 0.02279 0.01663 0.0004446 137 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.05it/s]
all 863 3065 0.642 0.569 0.6 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/299 27.4G 0.02286 0.01698 0.0004438 145 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.611 0.568 0.552 0.356
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/299 27.4G 0.02192 0.01649 0.0004075 96 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.666 0.57 0.616 0.384
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/299 27.4G 0.02191 0.01616 0.0003624 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.624 0.632 0.601 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/299 27.4G 0.02241 0.01685 0.0003861 82 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.652 0.573 0.564 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/299 27.4G 0.02196 0.01577 0.0003673 126 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.647 0.675 0.663 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/299 27.4G 0.02197 0.01606 0.0003721 80 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.777 0.557 0.644 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/299 27.4G 0.02167 0.01608 0.0003818 98 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.626 0.485 0.545 0.358
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/299 27.4G 0.02137 0.01653 0.0003217 158 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.663 0.545 0.582 0.389
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/299 27.4G 0.02195 0.01568 0.0003257 76 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.64 0.527 0.562 0.373
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/299 27.4G 0.022 0.01584 0.0003689 121 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.635 0.605 0.594 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/299 27.4G 0.02109 0.01565 0.0002989 159 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.649 0.523 0.562 0.386
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/299 27.4G 0.02144 0.01542 0.0003267 97 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.611 0.52 0.518 0.365
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/299 27.4G 0.02093 0.01543 0.0003096 104 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.798 0.594 0.629 0.382
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/299 27.4G 0.02138 0.01526 0.0003443 137 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.68 0.559 0.589 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/299 27.4G 0.02085 0.01587 0.0003209 119 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.727 0.554 0.595 0.388
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/299 27.4G 0.02083 0.01606 0.0003113 59 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.62 0.543 0.552 0.378
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/299 27.4G 0.02051 0.01508 0.0003201 99 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.68 0.59 0.612 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/299 27.4G 0.02084 0.01551 0.0003027 110 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.875 0.6 0.672 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/299 27.4G 0.02046 0.0157 0.0002852 115 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.68 0.628 0.641 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/299 27.4G 0.0202 0.01547 0.0002606 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.683 0.551 0.606 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/299 27.4G 0.02027 0.01491 0.0002783 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.617 0.575 0.58 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/299 27.4G 0.02008 0.01529 0.0004058 188 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.838 0.591 0.692 0.435
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/299 27.4G 0.02039 0.01491 0.0003726 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.64 0.661 0.648 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/299 27.4G 0.02064 0.01524 0.0003629 144 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.723 0.564 0.599 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/299 27.4G 0.0199 0.01491 0.0002977 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.689 0.582 0.603 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/299 27.4G 0.02016 0.01548 0.0002966 128 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.604 0.625 0.578 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/299 27.4G 0.01986 0.01476 0.0002922 147 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.774 0.575 0.615 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/299 27.4G 0.0196 0.0148 0.00028 87 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.787 0.613 0.671 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/299 27.4G 0.01969 0.01453 0.0002526 127 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.861 0.602 0.655 0.41
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/299 27.4G 0.01959 0.01451 0.0002846 120 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.631 0.659 0.606 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/299 27.4G 0.01917 0.01483 0.0002217 109 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.604 0.596 0.578 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/299 27.4G 0.01933 0.0149 0.0002793 105 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.699 0.551 0.583 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/299 27.4G 0.01925 0.01457 0.0002577 90 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.794 0.51 0.603 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/299 27.4G 0.01908 0.01416 0.0002597 84 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.697 0.52 0.593 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/299 27.4G 0.01911 0.01466 0.0002527 105 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.672 0.591 0.6 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/299 27.4G 0.01922 0.01445 0.0002553 128 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.742 0.537 0.615 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/299 27.4G 0.01915 0.01492 0.0002414 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.687 0.573 0.6 0.405
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/299 27.4G 0.01904 0.01408 0.0002431 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.58 0.563 0.561 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/299 27.4G 0.01875 0.01401 0.0002731 156 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.699 0.579 0.594 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/299 27.4G 0.01866 0.01388 0.0002049 117 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.61 0.598 0.587 0.395
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/299 27.4G 0.01861 0.01449 0.0002125 118 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.641 0.542 0.561 0.383
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/299 27.4G 0.01865 0.01374 0.000256 130 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.621 0.586 0.58 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/299 27.4G 0.01888 0.0143 0.0002683 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.602 0.609 0.546 0.379
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/299 27.4G 0.01849 0.0142 0.0002531 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.684 0.569 0.6 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/299 27.4G 0.01863 0.01398 0.0002628 135 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.614 0.567 0.554 0.374
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/299 27.4G 0.01842 0.01419 0.0002547 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.69 0.571 0.615 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/299 27.4G 0.01873 0.01436 0.0002856 118 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.742 0.577 0.63 0.406
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/299 27.4G 0.01837 0.01351 0.0002731 168 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.622 0.536 0.527 0.367
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/299 27.4G 0.018 0.01374 0.0001935 175 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.796 0.6 0.65 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/299 27.4G 0.01804 0.01377 0.0002401 142 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.709 0.611 0.646 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/299 27.4G 0.01803 0.01324 0.0002411 93 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.705 0.595 0.609 0.417
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/299 27.4G 0.01766 0.01337 0.0001917 108 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.732 0.53 0.596 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/299 27.4G 0.018 0.01378 0.000193 157 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.715 0.584 0.619 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/299 27.4G 0.01828 0.01395 0.0001994 101 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.759 0.628 0.684 0.436
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/299 27.4G 0.01802 0.01334 0.0002503 87 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.676 0.582 0.614 0.39
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/299 27.4G 0.0179 0.01304 0.0002029 85 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.673 0.575 0.611 0.411
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/299 27.4G 0.01771 0.01338 0.0001934 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.605 0.591 0.586 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/299 27.4G 0.01749 0.01302 0.00025 113 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.827 0.524 0.602 0.414
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/299 27.4G 0.01808 0.01403 0.0001925 99 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.686 0.531 0.581 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/299 27.4G 0.01728 0.01295 0.0002134 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.791 0.587 0.647 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/299 27.4G 0.01752 0.01317 0.0002104 111 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.788 0.562 0.643 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/299 27.4G 0.01776 0.01344 0.0001967 116 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.694 0.649 0.629 0.402
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/299 27.4G 0.01746 0.013 0.000216 149 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.666 0.552 0.587 0.394
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/299 27.4G 0.01756 0.01399 0.0002177 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.719 0.591 0.642 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/299 27.4G 0.01702 0.01321 0.0001993 114 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.662 0.568 0.611 0.403
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/299 27.4G 0.01776 0.01307 0.0001986 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.673 0.629 0.633 0.418
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/299 27.4G 0.01768 0.01344 0.0002135 152 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.675 0.623 0.595 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/299 27.4G 0.01723 0.01351 0.0002055 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.754 0.552 0.642 0.412
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/299 27.4G 0.01698 0.01319 0.0002189 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.712 0.644 0.659 0.413
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/299 27.4G 0.01719 0.01331 0.0001877 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.675 0.588 0.575 0.399
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/299 27.4G 0.01714 0.01323 0.0002118 100 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.707 0.582 0.615 0.393
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/299 27.4G 0.01679 0.01313 0.0002129 106 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.723 0.623 0.649 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/299 27.4G 0.01687 0.01278 0.0001904 153 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.783 0.609 0.675 0.428
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/299 27.4G 0.01695 0.01326 0.0002438 113 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.612 0.562 0.584 0.398
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/299 27.4G 0.01737 0.01322 0.0002146 153 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.668 0.565 0.592 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/299 27.4G 0.01674 0.01299 0.0002199 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.648 0.581 0.594 0.404
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/299 27.4G 0.01655 0.01307 0.0002319 155 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.677 0.666 0.657 0.429
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/299 27.4G 0.01713 0.01291 0.0002817 100 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.625 0.609 0.582 0.396
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/299 27.4G 0.01658 0.01327 0.0002 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.597 0.575 0.579 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/299 27.4G 0.01688 0.01313 0.0001985 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.613 0.624 0.624 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/299 27.4G 0.01681 0.01271 0.0002371 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.672 0.636 0.64 0.415
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/299 27.4G 0.01681 0.01326 0.0002163 95 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.673 0.568 0.595 0.408
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/299 27.4G 0.01633 0.01307 0.0001736 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.682 0.564 0.599 0.409
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/299 27.4G 0.01707 0.01323 0.0002029 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.751 0.548 0.642 0.427
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/299 27.4G 0.01693 0.01313 0.0001908 93 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.645 0.631 0.617 0.422
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/299 27.4G 0.01635 0.01298 0.000154 147 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.662 0.616 0.602 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/299 27.4G 0.01672 0.01288 0.000192 235 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.661 0.58 0.573 0.391
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/299 27.4G 0.01654 0.01279 0.0001862 127 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.7 0.65 0.651 0.437
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/299 27.4G 0.01593 0.01269 0.0001967 102 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.695 0.654 0.652 0.426
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/299 27.4G 0.01625 0.01268 0.0001806 101 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.673 0.641 0.645 0.423
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/299 27.4G 0.01683 0.01329 0.0001695 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.743 0.553 0.637 0.416
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/299 27.4G 0.0161 0.01259 0.0001713 152 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.682 0.596 0.639 0.424
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/299 27.4G 0.01652 0.0133 0.0001798 91 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.687 0.613 0.621 0.421
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/299 27.4G 0.01576 0.01267 0.0001506 128 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.12it/s]
all 863 3065 0.687 0.642 0.63 0.419
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/299 27.4G 0.01615 0.01253 0.0001755 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.674 0.582 0.586 0.397
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/299 27.4G 0.01602 0.01271 0.0001547 109 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.13it/s]
all 863 3065 0.691 0.632 0.626 0.411
Stopping training early as no improvement observed in last 100 epochs. Best results observed at epoch 1, best model saved as best.pt.
To update EarlyStopping(patience=100) pass a new patience value, i.e. `python train.py --patience 300` or use `--patience 0` to disable EarlyStopping.
102 epochs completed in 1.089 hours.
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile33_XLmod_Background_Tiled_TrainingData2/weights/last.pt, 173.0MB
Optimizer stripped from /content/drive/MyDrive/dataset/colab_exports/Zeile33_XLmod_Background_Tiled_TrainingData2/weights/best.pt, 173.0MB
Validating /content/drive/MyDrive/dataset/colab_exports/Zeile33_XLmod_Background_Tiled_TrainingData2/weights/best.pt...
Fusing layers...
Model summary: 322 layers, 86180143 parameters, 0 gradients, 203.8 GFLOPs
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:08<00:00, 1.68it/s]
all 863 3065 0.882 0.645 0.723 0.445
plane 863 2995 0.972 0.82 0.92 0.684
helicopter 863 70 0.791 0.471 0.526 0.207
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile33_XLmod_Background_Tiled_TrainingData2
Modell 16#
Nachfolgend wird das bisher beste Modell 13 mit dem von YOLOv5 angebotenen Evolve-Methode trainiert. Colab limitiert die Laufzeit auf 24h, weshalb nur 10 Generation anstelle von den empfohlenen 300 durchlaufen werden konnten.
!python train.py --weights /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt --epochs 150 --batch 30 --img 640 --data planes_and_helicopters_tiles.yaml --project /content/drive/MyDrive/dataset/colab_exports --name Zeile34_XLmod_Background_Tiled_TrainingData --cache --evolve 10
Die letzten 5000 Zeilen der Streamingausgabe wurden abgeschnitten.
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.5G 0.01864 0.01674 0.0002165 105 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.5G 0.01893 0.01656 0.0002361 90 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.5G 0.01847 0.01607 0.000236 84 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.5G 0.01847 0.01648 0.0002216 105 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.5G 0.01846 0.01623 0.0002555 128 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.5G 0.01852 0.01675 0.0002644 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.5G 0.01813 0.01583 0.0002294 113 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.5G 0.01755 0.01558 0.0002078 156 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.5G 0.01794 0.01556 0.0001787 117 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.5G 0.01791 0.01624 0.000195 118 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.5G 0.0178 0.01564 0.0001999 130 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.5G 0.01795 0.01595 0.0001852 107 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.5G 0.0176 0.01585 0.0001975 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.5G 0.01783 0.01548 0.000192 135 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.5G 0.01744 0.01563 0.000313 132 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.5G 0.0174 0.01561 0.000206 118 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.5G 0.01693 0.01483 0.000184 168 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.5G 0.01706 0.0152 0.0001522 175 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.5G 0.01684 0.01515 0.0001761 142 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.5G 0.01684 0.01483 0.0001902 93 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.5G 0.01663 0.01466 0.0001852 108 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.5G 0.01679 0.01527 0.0001517 157 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.5G 0.01675 0.01532 0.0001645 101 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.5G 0.01664 0.01471 0.0001792 87 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.5G 0.01671 0.01427 0.0001482 85 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.5G 0.01629 0.01454 0.0001626 113 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.5G 0.01612 0.01426 0.0001902 113 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.5G 0.01682 0.01533 0.0001719 99 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.5G 0.01573 0.01399 0.0002108 86 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.5G 0.01587 0.01421 0.0001615 111 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.5G 0.01615 0.01433 0.0001493 116 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.5G 0.01598 0.01399 0.0001783 149 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.5G 0.01607 0.01498 0.000142 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.5G 0.01552 0.01426 0.0001323 114 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.5G 0.01604 0.01412 0.0001375 86 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.5G 0.01611 0.01435 0.0001411 152 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.5G 0.01546 0.01452 0.0001451 109 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.5G 0.0152 0.01404 0.0001603 162 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.5G 0.01543 0.01399 0.0001388 168 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.5G 0.01531 0.01408 0.0002091 100 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.5G 0.01535 0.014 0.0001575 106 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.5G 0.01521 0.01363 0.0001449 153 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.5G 0.01545 0.01423 0.0001575 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.5G 0.01542 0.01386 0.0001407 153 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.5G 0.0152 0.01389 0.0001483 95 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.5G 0.01478 0.0139 0.0001754 155 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.5G 0.01498 0.01363 0.000207 100 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.5G 0.01503 0.01408 0.0001875 127 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.5G 0.01511 0.01391 0.000175 110 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.5G 0.0148 0.01338 0.0001402 115 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.5G 0.01463 0.01382 0.0001396 95 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.5G 0.01433 0.0138 0.0001219 139 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.5G 0.01479 0.0136 0.0001247 82 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.5G 0.0148 0.01363 0.0001392 93 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.5G 0.01435 0.01356 9.789e-05 147 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.5G 0.01461 0.01333 0.0001249 235 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.5G 0.0141 0.01309 0.0001134 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.5G 0.01391 0.01314 8.919e-05 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.5G 0.01392 0.01302 0.0001151 101 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.5G 0.01453 0.01343 0.0001104 143 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.5G 0.01371 0.01289 8.494e-05 152 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.5G 0.01458 0.01355 0.0001023 91 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.5G 0.01387 0.01295 8.38e-05 128 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.5G 0.01349 0.01261 8.683e-05 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.5G 0.01372 0.01275 8.744e-05 109 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.5G 0.01359 0.01238 0.0001009 118 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.5G 0.01359 0.01224 9.383e-05 106 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.5G 0.01316 0.01219 7.738e-05 135 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.5G 0.01341 0.01293 7.616e-05 88 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.5G 0.013 0.01251 8.582e-05 90 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.5G 0.01333 0.01234 0.0001021 142 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.5G 0.01269 0.01209 8.005e-05 82 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.5G 0.01314 0.0122 9.426e-05 111 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.5G 0.01298 0.01218 7.465e-05 94 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.5G 0.01284 0.01239 0.0001048 167 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.5G 0.01272 0.0118 7.104e-05 157 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.5G 0.01244 0.0118 8.557e-05 94 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.5G 0.01273 0.0118 8.105e-05 132 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.5G 0.01277 0.01183 8.471e-05 115 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.5G 0.01257 0.0118 5.64e-05 121 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.5G 0.01305 0.01218 8.796e-05 197 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.5G 0.01246 0.01184 6.05e-05 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.5G 0.01205 0.01173 5.146e-05 107 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.5G 0.01238 0.01184 6.61e-05 92 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.5G 0.01208 0.01139 8.066e-05 82 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.5G 0.01217 0.01137 6.843e-05 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.5G 0.01236 0.01149 8.977e-05 213 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.5G 0.01222 0.01196 7.558e-05 137 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.5G 0.01214 0.01164 5.704e-05 155 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.5G 0.01208 0.01145 7.026e-05 151 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.5G 0.01193 0.01109 6.012e-05 133 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.5G 0.01129 0.01063 5.587e-05 82 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.5G 0.01165 0.01098 3.973e-05 80 640: 100% 78/78 [00:28<00:00, 2.72it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.5G 0.01156 0.01103 5.026e-05 131 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.5G 0.01159 0.01114 4.428e-05 69 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.5G 0.01144 0.01093 5.362e-05 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.5G 0.01129 0.01087 5.618e-05 139 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.5G 0.01116 0.01039 7.788e-05 122 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.5G 0.01151 0.01061 5.835e-05 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.5G 0.01108 0.01059 4.063e-05 150 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.5G 0.01135 0.01058 4.639e-05 163 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.5G 0.01112 0.01034 4.121e-05 112 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.5G 0.01151 0.01049 4.328e-05 97 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.5G 0.01093 0.01037 4.204e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.5G 0.01092 0.01078 6.097e-05 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.5G 0.01051 0.01008 4.742e-05 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.5G 0.01118 0.01024 3.938e-05 176 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.5G 0.0104 0.01008 3.371e-05 123 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.5G 0.01064 0.00976 3.939e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.5G 0.01102 0.01041 4.671e-05 135 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.5G 0.01038 0.00982 3.682e-05 178 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.5G 0.01054 0.009824 3.639e-05 180 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.5G 0.01075 0.009985 6.426e-05 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.734 0.556 0.637 0.433
150 epochs completed in 1.203 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 1 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.73419, 0.55616, 0.63671, 0.43315, 0.023113, 0.017133, 0.0017384, 0.01, 0.01, 0.937, 0.0005, 3, 0.8, 0.1, 0.05, 0.5, 1, 1, 1, 0.2, 4, 0, 0.015, 0.7, 0.4, 0, 0.1, 0.5, 0, 0, 0, 0.5, 1, 0, 0, 3
hyperparameters: lr0=0.00949, lrf=0.01, momentum=0.91684, weight_decay=0.00048, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.10266, box=0.0505, cls=0.50193, cls_pw=1.0498, obj=1.04331, obj_pw=1.0, iou_t=0.2, anchor_t=4.02934, fl_gamma=0.0, hsv_h=0.01515, hsv_s=0.67629, hsv_v=0.41016, degrees=0.0, translate=0.10813, scale=0.52501, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.99136, mixup=0.0, copy_paste=0.0, anchors=3.02954
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.02954
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 47103 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [320, 640, 1280]]
Model summary: 445 layers, 86224543 parameters, 86224543 gradients, 204.6 GFLOPs
Transferred 744/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00949) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.00045), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 415.95it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.08 anchors/target, 0.024 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7457: 100% 1000/1000 [00:01<00:00, 884.03it/s]
AutoAnchor: thr=0.25: 0.9704 best possible recall, 6.17 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.382/0.750-mean/best, past_thr=0.487-mean: 20,18, 38,31, 21,67, 47,58, 73,68, 125,47, 51,139, 121,121, 218,208
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.7G 0.03308 0.02708 0.0003912 116 640: 100% 78/78 [00:31<00:00, 2.50it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.7G 0.02267 0.02004 0.0001959 140 640: 100% 78/78 [00:29<00:00, 2.63it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.7G 0.02458 0.01962 0.0003368 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.7G 0.02439 0.0204 0.0003795 145 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.7G 0.02453 0.02023 0.0004507 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.7G 0.02339 0.02003 0.0004388 176 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.7G 0.02288 0.01993 0.0003777 140 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.7G 0.02213 0.01944 0.0003858 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.7G 0.02248 0.01895 0.0004539 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.7G 0.02176 0.01957 0.0004174 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.7G 0.02159 0.01913 0.0003476 130 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.7G 0.02195 0.01903 0.0003924 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.7G 0.02116 0.01883 0.0003941 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.7G 0.02156 0.0194 0.000355 163 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.7G 0.02111 0.0184 0.0003142 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.7G 0.02113 0.01841 0.0003134 140 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.7G 0.0207 0.01818 0.0003161 135 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.7G 0.02072 0.01803 0.0003265 93 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.7G 0.02036 0.0182 0.0003514 99 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.7G 0.02028 0.018 0.0003596 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.7G 0.02033 0.01751 0.0003083 129 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.7G 0.01998 0.01836 0.000333 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.7G 0.01979 0.01793 0.0003067 117 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.7G 0.01985 0.01842 0.0002622 197 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.7G 0.01918 0.01769 0.0003387 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.7G 0.01972 0.01812 0.0003357 93 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.7G 0.01991 0.01836 0.000351 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.7G 0.01918 0.01777 0.0002959 80 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.7G 0.01937 0.01773 0.000256 198 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.7G 0.01977 0.01768 0.0003333 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.7G 0.01945 0.01788 0.0002532 130 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.7G 0.01893 0.0173 0.0002458 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.7G 0.01895 0.01754 0.0002616 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.7G 0.01863 0.01722 0.0002462 96 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.7G 0.01862 0.01678 0.0002052 148 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.7G 0.01888 0.01697 0.0002882 96 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.7G 0.01806 0.01666 0.000264 133 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.7G 0.01805 0.01658 0.000239 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.7G 0.01829 0.0168 0.0002582 146 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.7G 0.01825 0.01653 0.0002692 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.7G 0.01811 0.01694 0.0002429 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.7G 0.01814 0.01638 0.0002478 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.7G 0.01839 0.01685 0.0002352 206 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.7G 0.01747 0.01624 0.0002322 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.7G 0.0168 0.01571 0.0002407 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.7G 0.01765 0.01644 0.0002011 153 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.7G 0.018 0.01723 0.0002241 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.7G 0.01763 0.01588 0.0002055 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.7G 0.01736 0.01595 0.0002216 109 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.7G 0.01779 0.01635 0.0002003 167 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.7G 0.01724 0.01583 0.0002086 74 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.7G 0.01734 0.01605 0.0002177 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.7G 0.01651 0.01566 0.0002333 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.7G 0.01647 0.01547 0.0002248 188 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.7G 0.01684 0.01557 0.0001843 129 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.7G 0.01678 0.01539 0.0002052 151 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.7G 0.01668 0.01563 0.0001946 112 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.7G 0.01644 0.01501 0.0001954 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.7G 0.01641 0.01551 0.0001613 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.7G 0.01654 0.01591 0.0001813 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.7G 0.01584 0.01457 0.0001949 157 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.7G 0.01648 0.01472 0.0001903 181 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.7G 0.01631 0.01505 0.0001615 74 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.7G 0.01585 0.01482 0.0001914 207 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.7G 0.01611 0.01512 0.0001752 88 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.7G 0.016 0.01463 0.0001824 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.7G 0.01523 0.01418 0.0001664 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.7G 0.01592 0.01487 0.0001543 145 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.7G 0.01603 0.01468 0.000162 61 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.7G 0.0153 0.01484 0.0001736 178 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.7G 0.01518 0.01489 0.0001488 76 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.7G 0.01571 0.01442 0.0001755 90 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.7G 0.01563 0.01463 0.0001864 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.7G 0.01504 0.01409 0.0001408 132 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.7G 0.01511 0.01469 0.000173 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.7G 0.01511 0.01407 0.0001522 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.7G 0.0155 0.0143 0.0001436 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.7G 0.01495 0.01392 0.000142 89 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.7G 0.01455 0.01417 0.0001797 73 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.7G 0.01466 0.01371 0.0001668 187 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.7G 0.01488 0.0144 0.0001493 68 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.7G 0.01483 0.0143 0.0001467 148 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.7G 0.01409 0.01367 0.0001465 112 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.7G 0.0145 0.01371 0.0001513 79 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.7G 0.01405 0.01355 0.0001317 93 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.7G 0.01416 0.01337 0.0001418 160 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.7G 0.01435 0.01376 0.0001201 146 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.7G 0.01407 0.01355 0.0001347 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.7G 0.0138 0.01362 0.0001211 89 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.7G 0.01437 0.01414 0.0001169 163 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.7G 0.01388 0.01391 0.0001292 81 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.7G 0.01384 0.01391 0.0001126 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.7G 0.0138 0.01286 0.0001164 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.7G 0.01405 0.01331 0.0001161 135 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.7G 0.01386 0.01335 0.0001126 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.7G 0.01376 0.01327 0.0001189 169 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.7G 0.01361 0.01355 0.0001196 143 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.7G 0.01344 0.01292 0.0001054 108 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.7G 0.01358 0.01328 0.0001132 164 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.7G 0.01314 0.01266 0.0001033 95 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.7G 0.01325 0.01275 9.056e-05 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.7G 0.01305 0.01268 9.444e-05 97 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.7G 0.01319 0.01283 0.0001206 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.7G 0.01336 0.01308 8.909e-05 110 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.7G 0.01308 0.01238 7.808e-05 91 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.7G 0.01276 0.01234 8.089e-05 80 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.7G 0.01245 0.01272 8.842e-05 96 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.7G 0.0131 0.01296 8.994e-05 138 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.7G 0.01254 0.01259 0.0001001 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.7G 0.01311 0.01242 0.0001091 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.7G 0.01271 0.01187 9.1e-05 112 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.7G 0.01268 0.01227 0.0001064 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.7G 0.01242 0.01213 9.084e-05 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.7G 0.01236 0.01204 7.102e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.7G 0.01208 0.0116 8.688e-05 140 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.7G 0.01246 0.01226 9.286e-05 106 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.7G 0.01252 0.01217 6.937e-05 159 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.7G 0.01216 0.01212 8.133e-05 49 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.7G 0.01168 0.01178 6.952e-05 160 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.7G 0.01174 0.01228 6.235e-05 137 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.7G 0.01178 0.0119 8.262e-05 136 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.7G 0.01179 0.01219 7.01e-05 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.7G 0.01134 0.01126 6.213e-05 76 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.7G 0.01198 0.01138 6.728e-05 170 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.7G 0.0122 0.01191 5.24e-05 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.7G 0.0122 0.012 5.369e-05 120 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.7G 0.0118 0.01147 6.081e-05 106 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.7G 0.01168 0.01159 5.754e-05 167 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.7G 0.01105 0.01107 5.314e-05 53 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.7G 0.01114 0.01093 7.559e-05 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.7G 0.0112 0.01122 6.509e-05 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.7G 0.01122 0.01119 4.677e-05 49 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.7G 0.01117 0.01134 6.688e-05 73 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.7G 0.01104 0.01104 6.028e-05 127 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.7G 0.01117 0.01102 6.029e-05 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.7G 0.01082 0.01069 8.081e-05 108 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.7G 0.01108 0.01099 5.773e-05 126 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.7G 0.01095 0.01077 5.152e-05 83 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.7G 0.01062 0.01066 4.703e-05 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.7G 0.01104 0.0109 7.315e-05 118 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.7G 0.0112 0.01057 5.488e-05 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.7G 0.01069 0.01046 4.403e-05 112 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.7G 0.01094 0.01081 5.972e-05 145 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.7G 0.01074 0.01062 3.982e-05 78 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.7G 0.01032 0.01014 5.233e-05 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.7G 0.01071 0.01041 3.541e-05 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.7G 0.01068 0.01049 4.668e-05 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.7G 0.01035 0.01026 4.105e-05 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.7G 0.01043 0.01051 5.111e-05 94 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.7G 0.01017 0.01039 7.022e-05 118 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.09it/s]
all 863 3065 0.724 0.552 0.63 0.438
150 epochs completed in 1.208 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 2 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.72386, 0.55228, 0.62998, 0.43756, 0.022713, 0.017564, 0.0013852, 0.00949, 0.01, 0.91684, 0.00048, 3, 0.8, 0.10266, 0.0505, 0.50193, 1.0498, 1.0433, 1, 0.2, 4.0293, 0, 0.01515, 0.67629, 0.41016, 0, 0.10813, 0.52501, 0, 0, 0, 0.5, 0.99136, 0, 0, 3.0295
hyperparameters: lr0=0.00771, lrf=0.01, momentum=0.83412, weight_decay=0.00044, warmup_epochs=2.75541, warmup_momentum=0.8418, warmup_bias_lr=0.08804, box=0.05269, cls=0.40101, cls_pw=1.05178, obj=1.02593, obj_pw=1.0, iou_t=0.2, anchor_t=4.04499, fl_gamma=0.0, hsv_h=0.01515, hsv_s=0.64878, hsv_v=0.46927, degrees=0.0, translate=0.10765, scale=0.59948, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.99751, mixup=0.0, copy_paste=0.0, anchors=3.0295
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.0295
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 47103 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [320, 640, 1280]]
Model summary: 445 layers, 86224543 parameters, 86224543 gradients, 204.6 GFLOPs
Transferred 744/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00771) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.0004125), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 414.69it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.08 anchors/target, 0.024 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7487: 100% 1000/1000 [00:01<00:00, 549.87it/s]
AutoAnchor: thr=0.25: 0.9709 best possible recall, 6.24 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.392/0.753-mean/best, past_thr=0.500-mean: 19,16, 36,31, 23,73, 46,55, 73,65, 116,51, 70,95, 129,123, 247,218
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.7G 0.03255 0.02564 0.0002853 125 640: 100% 78/78 [00:31<00:00, 2.50it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.7G 0.02336 0.02011 0.0001589 155 640: 100% 78/78 [00:29<00:00, 2.66it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.7G 0.02397 0.01908 0.0002298 121 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.7G 0.02364 0.01923 0.0002762 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.7G 0.02327 0.01842 0.0002754 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.7G 0.02289 0.01821 0.0002807 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.7G 0.02271 0.01864 0.000292 173 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.7G 0.02221 0.01749 0.0002769 104 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.7G 0.02253 0.01765 0.0002888 79 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.7G 0.02194 0.01824 0.0002784 76 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.7G 0.02168 0.01678 0.0002795 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.7G 0.02175 0.01731 0.0003026 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.7G 0.02195 0.01728 0.000293 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.7G 0.02154 0.01757 0.0002601 163 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.7G 0.02119 0.01659 0.0002548 66 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.7G 0.02144 0.01745 0.0002904 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.7G 0.02084 0.01689 0.0002557 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.7G 0.02092 0.01668 0.0002681 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.7G 0.02026 0.01638 0.0002609 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.7G 0.01993 0.01606 0.0002518 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.7G 0.02018 0.01625 0.0002452 98 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.7G 0.02049 0.01709 0.0002387 93 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.7G 0.02004 0.01633 0.0002594 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.7G 0.02031 0.0164 0.0002313 151 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.7G 0.02027 0.01639 0.0002461 119 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.7G 0.02001 0.01644 0.0002513 124 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.7G 0.02015 0.0161 0.0002414 106 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.7G 0.01951 0.016 0.0002382 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.7G 0.01905 0.01592 0.0002435 204 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.7G 0.01895 0.01585 0.00022 120 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.7G 0.01947 0.01598 0.0002684 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.7G 0.01943 0.01581 0.0002309 71 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.7G 0.01924 0.01597 0.0002154 136 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.7G 0.01927 0.01625 0.0002191 107 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.7G 0.01842 0.01525 0.000203 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.7G 0.0189 0.01563 0.0002187 134 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.7G 0.01826 0.01537 0.0002139 176 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.7G 0.01887 0.01553 0.0002007 133 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.7G 0.01857 0.01528 0.0002411 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.7G 0.01796 0.01514 0.0002257 85 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.7G 0.01804 0.01524 0.0002012 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.7G 0.01829 0.01522 0.0002029 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.7G 0.01848 0.01564 0.0002017 192 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.7G 0.01813 0.01511 0.0001876 126 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.7G 0.0182 0.01533 0.0002207 94 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.7G 0.01829 0.01489 0.0002101 69 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.7G 0.01783 0.01527 0.000193 142 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.7G 0.01759 0.01492 0.0001902 145 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.7G 0.01814 0.01489 0.0002011 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.7G 0.01782 0.01509 0.0001853 49 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.7G 0.01809 0.01483 0.000199 176 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.7G 0.0171 0.01499 0.0001731 148 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.7G 0.0172 0.0148 0.0002099 135 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.7G 0.01748 0.01423 0.0001791 183 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.7G 0.01722 0.01489 0.0001847 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.7G 0.0172 0.0145 0.0001826 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.7G 0.01645 0.01396 0.0001824 64 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.7G 0.01673 0.0141 0.0002032 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.7G 0.01712 0.0151 0.0001791 135 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.7G 0.01694 0.01489 0.0001759 136 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.7G 0.01648 0.01411 0.0001668 84 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.7G 0.01672 0.01411 0.0001833 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.7G 0.01628 0.01416 0.0001612 94 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.7G 0.01636 0.01367 0.0001661 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.7G 0.01672 0.01458 0.0001453 69 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.7G 0.01619 0.01391 0.0001702 97 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.7G 0.01579 0.01344 0.0001757 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.7G 0.0161 0.01369 0.0001646 166 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.7G 0.016 0.01371 0.0001675 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.7G 0.01575 0.01394 0.0001481 77 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.7G 0.0162 0.01395 0.0001471 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.7G 0.01607 0.01356 0.0001469 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.7G 0.01612 0.01347 0.0001456 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.7G 0.01584 0.01426 0.0001298 191 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.7G 0.01544 0.01388 0.0001416 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.7G 0.01562 0.01368 0.0001524 187 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.7G 0.01515 0.01318 0.0001455 64 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.7G 0.01594 0.01386 0.0001426 201 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.7G 0.01538 0.01331 0.0001619 187 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.7G 0.01547 0.01374 0.0001341 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.7G 0.01587 0.01347 0.0001583 206 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.7G 0.0148 0.01295 0.0001361 118 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.7G 0.01501 0.01295 0.0001483 118 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.7G 0.0155 0.01325 0.0001411 207 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.7G 0.01493 0.01288 0.0001269 140 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.7G 0.01528 0.01301 0.0001328 81 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.7G 0.01542 0.01336 0.0001259 160 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.7G 0.01509 0.01329 0.0001338 97 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.7G 0.01435 0.01284 0.0001197 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.7G 0.01483 0.01345 0.0001192 95 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.7G 0.01441 0.01294 0.000114 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.7G 0.0143 0.01342 0.0001064 202 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.7G 0.01477 0.01245 0.0001141 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.7G 0.01479 0.01276 0.0001161 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.7G 0.01458 0.0128 0.0001244 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.7G 0.01451 0.01271 0.0001036 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.7G 0.01508 0.01333 0.0001141 135 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.7G 0.01423 0.01292 0.0001001 145 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.7G 0.01433 0.01288 0.0001028 67 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.7G 0.01473 0.01311 9.811e-05 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.7G 0.01409 0.01274 0.000108 107 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.7G 0.01438 0.01264 9.463e-05 62 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.7G 0.0141 0.0123 0.0001019 124 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.7G 0.01399 0.01234 8.414e-05 84 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.7G 0.01401 0.01201 8.808e-05 161 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.7G 0.01424 0.01269 7.789e-05 76 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.7G 0.01345 0.01238 8.263e-05 97 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.7G 0.01402 0.01246 9e-05 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.7G 0.01344 0.01217 9.43e-05 74 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.7G 0.01395 0.01227 8.803e-05 120 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.7G 0.01387 0.01202 0.0001023 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.7G 0.01369 0.01207 0.0001348 83 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.7G 0.01356 0.01153 8.265e-05 153 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.7G 0.01321 0.01203 8.01e-05 105 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.7G 0.01335 0.01185 8.134e-05 137 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.7G 0.0134 0.01176 7.666e-05 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.7G 0.01335 0.01204 7.835e-05 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.7G 0.01343 0.01206 9.228e-05 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.7G 0.01316 0.01193 8.152e-05 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.7G 0.01307 0.01236 5.361e-05 100 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.7G 0.01322 0.01237 5.946e-05 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.7G 0.01299 0.01172 6.877e-05 134 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.7G 0.01315 0.01136 7.353e-05 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.7G 0.01319 0.01152 6.884e-05 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.7G 0.01308 0.01208 6.806e-05 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.7G 0.01365 0.01204 6.184e-05 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.7G 0.01329 0.01171 9.415e-05 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.7G 0.01301 0.01174 6.539e-05 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.7G 0.01244 0.01129 5.656e-05 74 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.7G 0.01259 0.01156 8.589e-05 134 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.7G 0.01277 0.01142 6.214e-05 136 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.7G 0.01275 0.0114 6.519e-05 118 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.7G 0.0129 0.01157 5.801e-05 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.7G 0.01289 0.0114 5.595e-05 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.7G 0.01226 0.01135 5.801e-05 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.7G 0.01286 0.01111 5.09e-05 112 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.7G 0.01254 0.01125 4.879e-05 148 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.7G 0.01281 0.01137 4.969e-05 163 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.7G 0.01268 0.01113 4.901e-05 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.7G 0.01256 0.0109 4.662e-05 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.7G 0.01242 0.01107 5.338e-05 75 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.7G 0.01246 0.01143 5.064e-05 153 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.7G 0.01225 0.01149 4.853e-05 104 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.7G 0.01233 0.01076 4.177e-05 174 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.7G 0.01203 0.01078 6.11e-05 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.7G 0.01209 0.01078 5.43e-05 133 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.7G 0.01307 0.01146 5.581e-05 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.7G 0.0123 0.01105 5.436e-05 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.7G 0.01185 0.01073 5.538e-05 96 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.7G 0.01247 0.01129 8.612e-05 167 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.06it/s]
all 863 3065 0.782 0.592 0.681 0.433
150 epochs completed in 1.208 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 3 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.78161, 0.5919, 0.68087, 0.43335, 0.02433, 0.017365, 0.00097279, 0.00771, 0.01, 0.83412, 0.00044, 2.7554, 0.8418, 0.08804, 0.05269, 0.40101, 1.0518, 1.0259, 1, 0.2, 4.045, 0, 0.01515, 0.64878, 0.46927, 0, 0.10765, 0.59948, 0, 0, 0, 0.5, 0.99751, 0, 0, 3.0295
hyperparameters: lr0=0.00949, lrf=0.01, momentum=0.86404, weight_decay=0.00052, warmup_epochs=4.70746, warmup_momentum=0.9067, warmup_bias_lr=0.10008, box=0.05505, cls=0.47811, cls_pw=1.0498, obj=1.36372, obj_pw=0.98598, iou_t=0.2, anchor_t=4.32686, fl_gamma=0.0, hsv_h=0.01439, hsv_s=0.48607, hsv_v=0.37358, degrees=0.0, translate=0.10682, scale=0.61357, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.56427, mixup=0.0, copy_paste=0.0, anchors=3.07208
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.07208
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 47103 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [320, 640, 1280]]
Model summary: 445 layers, 86224543 parameters, 86224543 gradients, 204.6 GFLOPs
Transferred 744/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00949) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.0004875), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 411.04it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.09 anchors/target, 0.027 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 9 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7475: 100% 1000/1000 [00:01<00:00, 656.40it/s]
AutoAnchor: thr=0.23: 0.9739 best possible recall, 6.42 anchors past thr
AutoAnchor: n=9, img_size=640, metric_all=0.384/0.751-mean/best, past_thr=0.482-mean: 18,16, 36,32, 21,67, 46,56, 73,66, 109,56, 53,133, 125,123, 228,227
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.6G 0.03489 0.0292 0.0003609 120 640: 100% 78/78 [00:31<00:00, 2.49it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.6G 0.02149 0.0204 0.0001448 80 640: 100% 78/78 [00:31<00:00, 2.50it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.6G 0.02588 0.02121 0.0001925 107 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.6G 0.02605 0.02112 0.0002966 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.6G 0.02688 0.02122 0.000365 83 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.6G 0.02613 0.02115 0.0003832 176 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.6G 0.0256 0.02146 0.0003567 136 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.6G 0.02585 0.02131 0.0004022 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.6G 0.02522 0.02096 0.0003611 66 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.6G 0.02551 0.02112 0.0003934 71 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.6G 0.0246 0.0212 0.0003694 98 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.6G 0.02506 0.02102 0.0004159 70 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.6G 0.02431 0.0203 0.0003536 74 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.6G 0.02442 0.02089 0.0003552 113 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.6G 0.02453 0.02123 0.0003794 137 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.6G 0.02407 0.02042 0.0003428 123 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.6G 0.02387 0.02075 0.0003497 68 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.6G 0.02397 0.02026 0.0004037 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.6G 0.02397 0.02055 0.0003847 77 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.6G 0.02304 0.02045 0.0003986 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.6G 0.02299 0.0199 0.0003298 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.6G 0.02269 0.01959 0.0003343 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.6G 0.02306 0.01966 0.0003557 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.6G 0.02267 0.01964 0.0003383 139 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.6G 0.02302 0.01917 0.0002995 90 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.6G 0.02252 0.01886 0.00031 73 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.6G 0.02221 0.01973 0.0003066 63 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.6G 0.02208 0.01904 0.0003316 114 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.6G 0.02244 0.01915 0.0003456 68 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.6G 0.02197 0.01939 0.0003276 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.6G 0.02244 0.01963 0.0002941 71 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.6G 0.02201 0.01926 0.0003208 65 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.6G 0.02135 0.01891 0.0002928 188 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.6G 0.02175 0.01944 0.0002881 93 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.6G 0.02108 0.01893 0.000281 92 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.6G 0.02203 0.01919 0.0002931 141 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.6G 0.0212 0.01814 0.0002797 77 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.6G 0.02051 0.01858 0.0002784 87 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.6G 0.02111 0.01896 0.0003158 110 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.6G 0.02078 0.01847 0.0003023 72 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.6G 0.02083 0.01876 0.000249 70 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.6G 0.02078 0.01796 0.0002626 92 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.6G 0.02044 0.01834 0.0002459 209 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.6G 0.0207 0.01861 0.0002859 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.6G 0.02 0.01783 0.0002553 102 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.6G 0.01943 0.01719 0.0002418 82 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.6G 0.02037 0.01808 0.0002507 73 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.6G 0.02053 0.01871 0.0002482 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.6G 0.02042 0.01807 0.0002334 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.6G 0.01935 0.01779 0.0002482 87 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.6G 0.01997 0.01799 0.0002244 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.6G 0.02038 0.0174 0.0002414 170 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.6G 0.01997 0.01716 0.0002206 96 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.6G 0.01914 0.01814 0.0002557 91 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.6G 0.01977 0.01747 0.0002405 69 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.6G 0.01926 0.01764 0.0002263 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.6G 0.01929 0.01752 0.0002524 65 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.6G 0.01984 0.01722 0.0002403 62 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.6G 0.019 0.01683 0.0002414 176 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.6G 0.01823 0.017 0.0002213 77 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.6G 0.01889 0.01712 0.0002229 135 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.6G 0.01839 0.01726 0.0002258 75 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.6G 0.01835 0.01663 0.0002215 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.6G 0.01822 0.01689 0.0002187 112 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.6G 0.01845 0.01664 0.0002208 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.6G 0.01836 0.01739 0.0002066 77 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.6G 0.01892 0.01771 0.0002098 77 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.6G 0.01847 0.01666 0.00018 93 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.6G 0.01846 0.01658 0.0001957 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.6G 0.01839 0.01739 0.0001782 120 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.6G 0.01812 0.01746 0.0001881 124 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.6G 0.01764 0.01571 0.0001997 115 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.6G 0.01769 0.01626 0.0002111 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.6G 0.01818 0.01662 0.0001735 112 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.6G 0.01776 0.01631 0.0001621 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.6G 0.01768 0.01607 0.0001858 108 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.6G 0.0173 0.01571 0.0001729 55 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.6G 0.01696 0.01612 0.0001667 69 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.6G 0.01714 0.01587 0.0001844 106 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.6G 0.01706 0.01555 0.0002059 90 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.6G 0.01724 0.016 0.0002116 61 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.6G 0.0169 0.01561 0.0002256 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.6G 0.01691 0.01575 0.0001705 109 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.6G 0.01663 0.01514 0.0001665 76 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.6G 0.01648 0.01506 0.0001684 109 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.6G 0.01663 0.01565 0.0001663 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.6G 0.01648 0.0152 0.0002115 170 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.6G 0.01612 0.01525 0.0001498 62 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.6G 0.01617 0.01501 0.0001531 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.6G 0.01678 0.01505 0.0001754 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.6G 0.0169 0.01528 0.0001828 69 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.6G 0.01636 0.01479 0.0001794 149 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.6G 0.01619 0.01514 0.0001585 106 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.6G 0.016 0.01558 0.0001244 62 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.6G 0.01549 0.01473 0.0001371 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.6G 0.01593 0.01496 0.0001222 90 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.6G 0.01561 0.01495 0.0001532 109 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.6G 0.01618 0.01479 0.0001419 64 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.6G 0.01537 0.01481 0.0001293 88 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.6G 0.01585 0.0152 0.0001261 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.6G 0.01491 0.01411 0.0001078 76 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.6G 0.01569 0.01433 0.000118 97 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.6G 0.01552 0.01422 0.0001163 71 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.6G 0.01533 0.01438 0.0001065 129 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.6G 0.01563 0.01456 0.00011 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.6G 0.01444 0.01375 0.0001229 66 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.6G 0.01514 0.01452 0.0001166 80 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.6G 0.01493 0.014 0.0001035 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.6G 0.01476 0.01398 0.0001192 63 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.6G 0.01453 0.01401 0.000101 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.6G 0.01465 0.01387 0.0001156 66 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.6G 0.01433 0.01343 0.0001392 107 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.6G 0.01513 0.01359 0.0001263 63 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.6G 0.01516 0.0141 8.933e-05 128 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.6G 0.01462 0.01402 0.0001032 173 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.6G 0.01411 0.01361 8.146e-05 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.6G 0.01463 0.0136 8.882e-05 159 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.6G 0.01403 0.01336 7.955e-05 88 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.6G 0.01412 0.01358 9.835e-05 62 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.6G 0.01387 0.01316 8.264e-05 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.6G 0.01394 0.01316 6.72e-05 76 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.6G 0.01477 0.01417 7.565e-05 123 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.6G 0.01363 0.01316 8.759e-05 100 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.6G 0.01328 0.01317 8.799e-05 85 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.6G 0.01388 0.01315 9.29e-05 121 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.6G 0.01377 0.01335 8.456e-05 74 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.6G 0.01401 0.01289 7.198e-05 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.6G 0.01338 0.01318 7.543e-05 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.6G 0.01309 0.013 8.714e-05 83 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.6G 0.01367 0.01312 7.224e-05 100 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.6G 0.01366 0.01264 7.733e-05 134 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.6G 0.01344 0.0127 8.299e-05 75 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.6G 0.01345 0.01315 5.884e-05 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.6G 0.01297 0.01298 6.114e-05 157 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.6G 0.01286 0.01263 5.858e-05 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.6G 0.01348 0.01236 6.618e-05 77 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.6G 0.01356 0.01302 5.433e-05 131 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.6G 0.01287 0.01271 5.548e-05 142 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.6G 0.01286 0.01231 4.915e-05 63 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.6G 0.01306 0.01266 7.313e-05 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.6G 0.01331 0.01219 5.427e-05 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.6G 0.01272 0.01188 6.25e-05 92 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.6G 0.01352 0.01311 7.229e-05 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.6G 0.01284 0.01217 4.382e-05 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.6G 0.01366 0.0123 4.532e-05 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.6G 0.01284 0.0121 4.926e-05 62 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.6G 0.01257 0.01211 5.161e-05 93 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.6G 0.0128 0.01227 4.616e-05 73 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.6G 0.01254 0.0118 4.792e-05 55 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.6G 0.01272 0.01198 4.307e-05 164 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.11it/s]
all 863 3065 0.785 0.595 0.688 0.453
150 epochs completed in 1.210 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 4 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.78453, 0.59456, 0.68756, 0.45254, 0.025124, 0.023531, 0.00097433, 0.00949, 0.01, 0.86404, 0.00052, 4.7075, 0.9067, 0.10008, 0.05505, 0.47811, 1.0498, 1.3637, 0.98598, 0.2, 4.3269, 0, 0.01439, 0.48607, 0.37358, 0, 0.10682, 0.61357, 0, 0, 0, 0.5, 0.56427, 0, 0, 3.0721
hyperparameters: lr0=0.00721, lrf=0.01113, momentum=0.87509, weight_decay=0.0004, warmup_epochs=2.76057, warmup_momentum=0.64685, warmup_bias_lr=0.06565, box=0.0406, cls=0.47637, cls_pw=1.148, obj=1.11997, obj_pw=0.6908, iou_t=0.2, anchor_t=4.8051, fl_gamma=0.0, hsv_h=0.01657, hsv_s=0.74983, hsv_v=0.50855, degrees=0.0, translate=0.10765, scale=0.72994, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.99751, mixup=0.0, copy_paste=0.0, anchors=2.38801
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=2.38801
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 31402 models.yolo.Detect [2, [[0, 1, 2, 3], [0, 1, 2, 3], [0, 1, 2, 3]], [320, 640, 1280]]
Model summary: 445 layers, 86208842 parameters, 86208842 gradients, 204.6 GFLOPs
Transferred 738/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00721) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.000375), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 413.03it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.01 anchors/target, 0.004 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 6 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7164: 100% 1000/1000 [00:01<00:00, 559.21it/s]
AutoAnchor: thr=0.21: 0.9689 best possible recall, 4.67 anchors past thr
AutoAnchor: n=6, img_size=640, metric_all=0.407/0.720-mean/best, past_thr=0.487-mean: 33,29, 23,73, 49,55, 76,69, 119,117, 208,204
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.4G 0.06914 0.05731 0.01994 128 640: 100% 78/78 [00:31<00:00, 2.49it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.4G 0.03804 0.04362 0.008174 163 640: 100% 78/78 [00:29<00:00, 2.66it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.4G 0.03757 0.02465 0.004203 124 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.4G 0.03273 0.02291 0.002875 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.4G 0.02941 0.02124 0.002111 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.4G 0.02695 0.02064 0.001811 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.4G 0.02569 0.02068 0.001584 175 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.4G 0.02422 0.01945 0.001452 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.4G 0.02404 0.01952 0.001298 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.4G 0.02331 0.02009 0.001247 78 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.4G 0.02187 0.01819 0.001145 130 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.4G 0.02169 0.01849 0.001388 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.4G 0.02222 0.01889 0.001077 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.4G 0.0216 0.019 0.000965 165 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.4G 0.02096 0.01819 0.0009131 67 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.4G 0.02061 0.01881 0.0008725 134 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.4G 0.01986 0.01839 0.0008231 156 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.4G 0.01981 0.01795 0.0008372 93 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.4G 0.01962 0.01804 0.0007826 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.4G 0.01976 0.01765 0.0007499 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.4G 0.01941 0.01779 0.0007132 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.4G 0.01928 0.01848 0.0006643 104 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.4G 0.01905 0.01781 0.0006749 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.4G 0.01928 0.01794 0.0006828 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.4G 0.01882 0.01776 0.0006311 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.4G 0.01838 0.01761 0.0006011 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.4G 0.01881 0.01726 0.0005988 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.4G 0.01823 0.01746 0.0005933 133 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.4G 0.01801 0.01739 0.0005669 204 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.4G 0.01791 0.01724 0.00054 119 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.4G 0.01777 0.01718 0.0005743 81 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.4G 0.01789 0.01719 0.0005236 72 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.4G 0.01713 0.01736 0.0004674 140 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.4G 0.01733 0.01736 0.0004907 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.4G 0.01732 0.01673 0.0004611 151 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.4G 0.01717 0.01673 0.000465 137 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.4G 0.01688 0.01684 0.0004637 184 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.4G 0.0173 0.01672 0.0004206 136 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.4G 0.01673 0.01652 0.0004566 128 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.4G 0.01674 0.0165 0.0004662 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.4G 0.01654 0.01666 0.0004424 120 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.4G 0.01625 0.01673 0.0004139 146 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.4G 0.01658 0.01696 0.0004345 197 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.4G 0.01633 0.01633 0.0003678 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.4G 0.01641 0.01656 0.0004 92 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.4G 0.01641 0.01606 0.0003957 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.4G 0.01608 0.01649 0.0003796 149 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.4G 0.01563 0.01614 0.000353 152 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.4G 0.01559 0.01592 0.0003249 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.4G 0.01589 0.01633 0.0003316 45 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.4G 0.01582 0.01598 0.0003472 187 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.4G 0.01538 0.01617 0.0003006 157 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.4G 0.01537 0.0161 0.0003678 147 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.4G 0.01558 0.01529 0.0003011 193 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.4G 0.01549 0.01603 0.0003064 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.4G 0.01539 0.01577 0.0003405 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.4G 0.01497 0.01517 0.0003299 65 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.4G 0.0151 0.0154 0.0003394 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.4G 0.0154 0.01639 0.0003194 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.4G 0.01516 0.01615 0.0003333 139 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.4G 0.01458 0.01525 0.0002963 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.4G 0.01494 0.01541 0.0002698 104 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.4G 0.01428 0.01531 0.0002663 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.4G 0.01435 0.01482 0.0002446 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.4G 0.0144 0.01557 0.0002366 72 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.4G 0.01389 0.01512 0.0002656 97 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.4G 0.01413 0.01483 0.0002444 141 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.4G 0.01437 0.01498 0.000264 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.4G 0.0143 0.01502 0.0002618 148 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.4G 0.01396 0.01511 0.0002531 77 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.4G 0.01421 0.01512 0.0002361 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.4G 0.0143 0.01485 0.0002301 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.4G 0.01408 0.0146 0.0002334 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.4G 0.01387 0.01517 0.0002074 199 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.4G 0.01374 0.01517 0.0002388 124 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.4G 0.01355 0.01467 0.0002418 185 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.4G 0.01337 0.01439 0.0002383 62 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.4G 0.01381 0.01486 0.0002094 201 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.4G 0.0135 0.01451 0.0002058 208 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.4G 0.01336 0.01468 0.0001992 82 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.4G 0.01381 0.01461 0.0002269 218 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.4G 0.013 0.01401 0.0001822 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.4G 0.01297 0.01407 0.0002347 119 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.4G 0.01378 0.01443 0.000221 217 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.4G 0.01312 0.01409 0.0002049 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.4G 0.01323 0.01422 0.0001904 80 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.4G 0.01346 0.01448 0.0001833 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.4G 0.01318 0.01431 0.0001765 100 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.4G 0.01267 0.01378 0.0001899 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.4G 0.01312 0.01476 0.0001777 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.4G 0.01252 0.01409 0.0001606 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.4G 0.01261 0.01464 0.0001896 217 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.4G 0.01312 0.01359 0.0001612 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.4G 0.01291 0.01368 0.000145 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.4G 0.01292 0.01376 0.0001719 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.4G 0.01254 0.01359 0.0001511 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.4G 0.01304 0.01433 0.0001524 147 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.4G 0.01253 0.01392 0.0001571 144 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.4G 0.01252 0.01393 0.0001267 71 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.4G 0.01272 0.01403 0.00013 122 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.4G 0.01233 0.01372 0.0001375 112 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.4G 0.01271 0.01382 0.0001299 67 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.4G 0.01244 0.01332 0.0001328 133 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.4G 0.01208 0.01339 0.0001227 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.4G 0.01206 0.01293 0.0001153 180 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.4G 0.01238 0.01347 0.0001037 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.4G 0.01188 0.01348 0.0001193 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.4G 0.01213 0.01332 0.000115 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.4G 0.01179 0.01319 0.0001204 73 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.4G 0.01225 0.01329 0.0001386 119 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.4G 0.0123 0.01314 0.0001366 149 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.4G 0.01178 0.01305 0.0001222 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.4G 0.01199 0.01262 0.0001234 153 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.4G 0.0114 0.01298 0.000123 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.4G 0.01145 0.01279 0.0001043 140 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.4G 0.0117 0.01287 9.228e-05 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.4G 0.01172 0.01306 9.961e-05 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.4G 0.01175 0.01299 0.0001121 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.4G 0.01135 0.01303 8.724e-05 104 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.4G 0.0115 0.0132 7.529e-05 104 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.4G 0.01159 0.01352 8.559e-05 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.4G 0.01148 0.01302 0.0001201 137 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.4G 0.01156 0.0124 0.0001127 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.4G 0.01149 0.01249 9.64e-05 159 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.4G 0.01123 0.01273 0.0001057 156 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.4G 0.0117 0.01314 8.11e-05 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.4G 0.01151 0.01277 9.018e-05 136 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.4G 0.0115 0.01273 8.123e-05 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.4G 0.01084 0.01217 7.197e-05 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.4G 0.0109 0.01245 0.0001132 146 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.4G 0.01123 0.01242 9.285e-05 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.4G 0.01103 0.01266 8.166e-05 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.4G 0.01115 0.0123 8.519e-05 129 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.4G 0.01111 0.01249 7.609e-05 91 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.4G 0.01089 0.01224 6.699e-05 121 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.4G 0.01116 0.01212 6.84e-05 113 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.4G 0.01098 0.01222 7.309e-05 153 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.4G 0.01129 0.01233 5.975e-05 165 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.4G 0.01094 0.01225 6.495e-05 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.4G 0.01079 0.01183 7.019e-05 146 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.4G 0.01089 0.01189 5.95e-05 74 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.4G 0.01077 0.01252 5.505e-05 161 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.4G 0.01079 0.01252 6.709e-05 107 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.4G 0.01079 0.01186 5.914e-05 177 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.4G 0.01052 0.01176 7.031e-05 161 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.4G 0.01069 0.01181 6.492e-05 137 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.4G 0.01123 0.01247 8.151e-05 176 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.4G 0.01065 0.01192 7.379e-05 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.4G 0.0105 0.01188 5.716e-05 92 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.4G 0.01072 0.01213 0.0001021 183 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.10it/s]
all 863 3065 0.668 0.69 0.682 0.434
150 epochs completed in 1.207 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 5 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.6683, 0.69004, 0.68178, 0.43368, 0.019005, 0.016909, 0.0012575, 0.00721, 0.01113, 0.87509, 0.0004, 2.7606, 0.64685, 0.06565, 0.0406, 0.47637, 1.148, 1.12, 0.6908, 0.2, 4.8051, 0, 0.01657, 0.74983, 0.50855, 0, 0.10765, 0.72994, 0, 0, 0, 0.5, 0.99751, 0, 0, 2.388
hyperparameters: lr0=0.00771, lrf=0.01, momentum=0.80998, weight_decay=0.00041, warmup_epochs=2.47924, warmup_momentum=0.66575, warmup_bias_lr=0.08967, box=0.06646, cls=0.29164, cls_pw=0.79428, obj=1.03437, obj_pw=0.86995, iou_t=0.2, anchor_t=5.30712, fl_gamma=0.0, hsv_h=0.01522, hsv_s=0.5689, hsv_v=0.588, degrees=0.0, translate=0.10765, scale=0.56193, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, anchors=3.62477
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.62477
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 62804 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7]], [320, 640, 1280]]
Model summary: 445 layers, 86240244 parameters, 86240244 gradients, 204.7 GFLOPs
Transferred 738/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00771) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.000384375), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 414.76it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.46 anchors/target, 0.108 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 12 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7586: 100% 1000/1000 [00:02<00:00, 429.33it/s]
AutoAnchor: thr=0.19: 0.9809 best possible recall, 8.90 anchors past thr
AutoAnchor: n=12, img_size=640, metric_all=0.349/0.761-mean/best, past_thr=0.431-mean: 17,15, 36,31, 21,68, 46,55, 72,68, 119,41, 48,126, 116,115, 216,82, 83,287, 170,167, 261,282
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.4G 0.1106 0.06434 0.01152 125 640: 100% 78/78 [00:31<00:00, 2.49it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.4G 0.05499 0.05938 0.007666 130 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.4G 0.05509 0.0325 0.005263 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.4G 0.05042 0.02674 0.004563 107 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.4G 0.04483 0.02359 0.004332 108 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.4G 0.04241 0.02274 0.003934 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.4G 0.04029 0.02243 0.003654 149 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.4G 0.0379 0.02127 0.003282 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.4G 0.03815 0.02071 0.003161 88 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.4G 0.03694 0.02116 0.00294 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.4G 0.03562 0.01983 0.00259 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.4G 0.0349 0.01994 0.002563 88 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.4G 0.03368 0.01948 0.002386 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.4G 0.03376 0.02012 0.002238 158 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.4G 0.03307 0.01867 0.002132 75 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.4G 0.03271 0.0187 0.002049 121 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.4G 0.03202 0.01894 0.001876 170 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.4G 0.03181 0.01816 0.001782 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.4G 0.03064 0.01828 0.001688 108 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.4G 0.03043 0.01771 0.001658 149 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.4G 0.03007 0.0185 0.001607 123 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.4G 0.03008 0.01874 0.001555 64 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.4G 0.0292 0.01775 0.001476 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.4G 0.02959 0.01793 0.001521 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.4G 0.02873 0.01823 0.001436 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.4G 0.02895 0.01805 0.001381 117 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.4G 0.02871 0.01732 0.001331 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.4G 0.02879 0.01761 0.001315 201 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.4G 0.02776 0.0171 0.001257 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.4G 0.02854 0.01743 0.001254 149 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.4G 0.02789 0.01739 0.001245 87 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.4G 0.02742 0.01762 0.001209 130 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.4G 0.02722 0.01698 0.001128 148 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.4G 0.02733 0.01708 0.001128 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.4G 0.02687 0.01671 0.001104 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.4G 0.02673 0.01659 0.001095 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.4G 0.02632 0.0171 0.001038 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.4G 0.02663 0.01705 0.001038 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.4G 0.02606 0.0167 0.001018 94 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.4G 0.02552 0.01633 0.001004 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.4G 0.02563 0.01649 0.0009818 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.4G 0.02614 0.01647 0.0009464 131 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.4G 0.02532 0.01678 0.0009577 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.4G 0.02525 0.01618 0.0009138 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.4G 0.02507 0.01603 0.0009211 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.4G 0.02484 0.01584 0.0008941 114 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.4G 0.02478 0.01662 0.0008818 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.4G 0.02475 0.016 0.0008822 164 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.4G 0.02476 0.0163 0.0008558 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.4G 0.02417 0.01583 0.0008308 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.4G 0.02457 0.01578 0.0008324 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.4G 0.02401 0.01588 0.000806 139 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.4G 0.02412 0.01596 0.0008108 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.4G 0.02368 0.01512 0.0007811 178 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.4G 0.02335 0.0154 0.0007732 179 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.4G 0.02336 0.01555 0.0007595 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.4G 0.02309 0.01488 0.0007584 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.4G 0.02274 0.01494 0.0007351 138 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.4G 0.0234 0.01583 0.0007369 158 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.4G 0.0229 0.01566 0.0007313 110 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.4G 0.02256 0.01504 0.0007008 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.4G 0.0228 0.01448 0.0006932 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.4G 0.02253 0.01521 0.0006755 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.4G 0.02165 0.01447 0.000677 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.4G 0.0227 0.01529 0.0006597 99 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.4G 0.0219 0.01462 0.0006695 85 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.4G 0.022 0.01458 0.0006571 115 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.4G 0.02193 0.01493 0.0006448 119 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.4G 0.02157 0.01435 0.0006398 152 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.4G 0.0214 0.01539 0.0006141 101 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.4G 0.02119 0.01471 0.0006049 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.4G 0.02151 0.01433 0.0005954 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.4G 0.02166 0.01465 0.0005802 160 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.4G 0.02104 0.01489 0.000569 114 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.4G 0.02093 0.01474 0.0005758 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.4G 0.02071 0.0143 0.0005641 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.4G 0.02099 0.01448 0.0005527 105 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.4G 0.02092 0.01457 0.0005577 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.4G 0.02111 0.01445 0.0005481 167 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.4G 0.0207 0.01487 0.0005521 111 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.4G 0.02092 0.0146 0.000539 159 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.4G 0.02066 0.01452 0.0005232 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.4G 0.02027 0.01445 0.0005168 157 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.4G 0.02044 0.01442 0.0005138 103 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.4G 0.02012 0.01454 0.0005019 135 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.4G 0.02026 0.01433 0.0004986 117 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.4G 0.02022 0.01407 0.0004728 121 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.4G 0.02009 0.01455 0.0004968 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.4G 0.01961 0.01464 0.0004766 143 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.4G 0.02006 0.01439 0.000465 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.4G 0.02026 0.01444 0.0004679 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.4G 0.01962 0.01441 0.0004423 152 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.4G 0.01989 0.01405 0.0004434 248 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.4G 0.01943 0.01387 0.0004477 114 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.4G 0.01931 0.01403 0.0004331 105 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.4G 0.01924 0.01392 0.0004189 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.4G 0.01955 0.01435 0.0004193 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.4G 0.01888 0.01398 0.0004061 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.4G 0.01939 0.01434 0.0004022 94 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.4G 0.01872 0.01372 0.0003883 129 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.4G 0.01885 0.01373 0.0003838 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.4G 0.01858 0.01368 0.0003807 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.4G 0.01858 0.01335 0.0003781 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.4G 0.01828 0.0132 0.0003701 109 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.4G 0.01823 0.01329 0.0003586 134 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.4G 0.01818 0.01383 0.0003581 86 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.4G 0.01778 0.0135 0.0003514 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.4G 0.01821 0.01344 0.000356 146 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.4G 0.01786 0.01334 0.0003291 80 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.4G 0.01812 0.01349 0.0003278 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.4G 0.01782 0.0132 0.0003252 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.4G 0.01763 0.01349 0.0003391 169 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.4G 0.01771 0.013 0.0003051 160 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.4G 0.01738 0.01322 0.0003002 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.4G 0.01758 0.01316 0.0003125 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.4G 0.01751 0.01294 0.0002971 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.4G 0.01746 0.01303 0.0002858 124 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.4G 0.01781 0.01344 0.0002864 205 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.4G 0.01711 0.01295 0.0002777 105 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.4G 0.01695 0.01315 0.0002689 110 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.4G 0.0171 0.01316 0.0002669 91 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.4G 0.01698 0.01284 0.0002679 84 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.4G 0.01703 0.01273 0.0002561 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.4G 0.01706 0.01286 0.0002447 216 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.4G 0.01698 0.01361 0.0002469 141 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.4G 0.01688 0.01305 0.0002364 164 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.4G 0.01712 0.01294 0.0002419 156 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.4G 0.01665 0.01258 0.000234 140 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.4G 0.01607 0.01197 0.0002255 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.4G 0.01639 0.01256 0.0002162 79 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.4G 0.01646 0.01273 0.0002077 134 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.4G 0.01664 0.01286 0.0002056 69 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.4G 0.01607 0.01259 0.0002012 161 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.4G 0.01614 0.01257 0.0001946 148 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.4G 0.01596 0.012 0.0001917 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.4G 0.01612 0.01234 0.0001984 124 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.4G 0.01588 0.01217 0.0001764 169 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.4G 0.01607 0.01256 0.000186 166 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.4G 0.01562 0.01203 0.0001746 117 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.4G 0.0164 0.0123 0.0001772 99 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.4G 0.01577 0.01216 0.0001746 86 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.4G 0.01549 0.01273 0.0001714 107 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.4G 0.01525 0.01187 0.0001763 83 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.4G 0.01605 0.01207 0.0001603 177 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.4G 0.01517 0.01208 0.0001612 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.4G 0.01562 0.01159 0.0001691 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.4G 0.01602 0.01228 0.0001565 139 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.4G 0.01531 0.0119 0.000154 185 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.4G 0.01538 0.01189 0.0001504 189 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.4G 0.01561 0.01197 0.0001625 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.05it/s]
all 863 3065 0.806 0.586 0.689 0.435
150 epochs completed in 1.209 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 6 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.80554, 0.58636, 0.68947, 0.43503, 0.030193, 0.01731, 0.00073255, 0.00771, 0.01, 0.80998, 0.00041, 2.4792, 0.66575, 0.08967, 0.06646, 0.29164, 0.79428, 1.0344, 0.86995, 0.2, 5.3071, 0, 0.01522, 0.5689, 0.588, 0, 0.10765, 0.56193, 0, 0, 0, 0.5, 1, 0, 0, 3.6248
hyperparameters: lr0=0.00757, lrf=0.01, momentum=0.77581, weight_decay=0.00041, warmup_epochs=2.38393, warmup_momentum=0.60638, warmup_bias_lr=0.08967, box=0.06646, cls=0.29164, cls_pw=0.73032, obj=1.0344, obj_pw=0.74016, iou_t=0.2, anchor_t=5.3071, fl_gamma=0.0, hsv_h=0.01328, hsv_s=0.5395, hsv_v=0.588, degrees=0.0, translate=0.10468, scale=0.59553, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, anchors=4.04148
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=4.04148
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 62804 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7]], [320, 640, 1280]]
Model summary: 445 layers, 86240244 parameters, 86240244 gradients, 204.7 GFLOPs
Transferred 738/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00757) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.000384375), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 411.01it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.46 anchors/target, 0.108 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 12 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7586: 100% 1000/1000 [00:03<00:00, 298.17it/s]
AutoAnchor: thr=0.19: 0.9809 best possible recall, 8.90 anchors past thr
AutoAnchor: n=12, img_size=640, metric_all=0.349/0.761-mean/best, past_thr=0.431-mean: 17,15, 36,31, 21,68, 46,55, 72,68, 119,41, 48,126, 116,115, 216,82, 83,287, 170,167, 261,282
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.4G 0.1136 0.05605 0.01115 125 640: 100% 78/78 [00:31<00:00, 2.49it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.4G 0.05673 0.05925 0.008111 136 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.4G 0.05264 0.03613 0.005788 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.4G 0.04966 0.02715 0.004778 110 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.4G 0.046 0.023 0.004419 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.4G 0.04297 0.02188 0.004067 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.4G 0.04162 0.02156 0.003859 151 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.4G 0.03952 0.02024 0.003535 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.4G 0.03877 0.01974 0.003464 92 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.4G 0.03765 0.01995 0.003213 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.4G 0.03617 0.01859 0.002852 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.4G 0.03551 0.01887 0.002835 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.4G 0.03503 0.01851 0.002655 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.4G 0.03458 0.01915 0.002474 164 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.4G 0.034 0.01767 0.002361 75 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.4G 0.0335 0.01767 0.002303 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.4G 0.03246 0.01788 0.002106 172 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.4G 0.03186 0.01701 0.001986 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.4G 0.0317 0.01717 0.001894 112 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.4G 0.03169 0.01673 0.001874 157 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.4G 0.03111 0.01745 0.001831 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.4G 0.03105 0.01762 0.001746 68 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.4G 0.03021 0.01684 0.001663 102 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.4G 0.03063 0.01699 0.001663 110 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.4G 0.02955 0.01719 0.001587 120 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.4G 0.02931 0.01688 0.001515 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.4G 0.02902 0.01632 0.001467 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.4G 0.02898 0.01647 0.001449 202 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.4G 0.02793 0.01592 0.001393 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.4G 0.02893 0.0162 0.001359 151 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.4G 0.02819 0.01609 0.001348 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.4G 0.02797 0.01648 0.001319 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.4G 0.02758 0.01596 0.001255 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.4G 0.02748 0.01599 0.001271 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.4G 0.02716 0.01562 0.001211 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.4G 0.0273 0.01559 0.001199 128 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.4G 0.02693 0.0161 0.001178 124 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.4G 0.02734 0.01591 0.001147 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.4G 0.02667 0.0157 0.001153 94 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.4G 0.02572 0.01529 0.001115 82 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.4G 0.02621 0.01543 0.001104 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.4G 0.02656 0.01528 0.001057 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.4G 0.02592 0.01579 0.001042 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.4G 0.02587 0.01513 0.001019 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.4G 0.02552 0.01508 0.0009971 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.4G 0.02541 0.01486 0.0009763 116 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.4G 0.0251 0.01562 0.0009733 124 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.4G 0.02516 0.01493 0.0009498 165 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.4G 0.0254 0.01527 0.000955 114 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.4G 0.02485 0.01501 0.0009203 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.4G 0.02492 0.01484 0.0009123 146 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.4G 0.02459 0.01488 0.0008813 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.4G 0.02433 0.01501 0.0008942 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.4G 0.02424 0.01428 0.0008773 182 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.4G 0.02373 0.01463 0.0008445 181 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.4G 0.02385 0.01464 0.0008377 145 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.4G 0.02333 0.01393 0.0008208 93 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.4G 0.02316 0.01414 0.0008033 138 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.4G 0.02374 0.01489 0.0007885 158 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.4G 0.02354 0.0147 0.0008031 114 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.4G 0.02284 0.01402 0.0007787 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.4G 0.02342 0.01375 0.0007742 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.4G 0.02327 0.01436 0.0007594 116 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.4G 0.02217 0.01362 0.0007497 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.4G 0.02318 0.01436 0.0007285 100 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.4G 0.02215 0.01374 0.0007168 89 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.4G 0.0225 0.01385 0.0007263 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.4G 0.02253 0.01393 0.0007151 124 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.4G 0.02227 0.01364 0.0007054 155 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.4G 0.02226 0.01463 0.0006872 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.4G 0.02178 0.01384 0.0006663 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.4G 0.02215 0.01372 0.0006663 94 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.4G 0.02233 0.01387 0.000652 173 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.4G 0.02161 0.0141 0.0006367 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.4G 0.02157 0.01396 0.0006372 171 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.4G 0.02149 0.01359 0.0006361 169 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.4G 0.02143 0.01368 0.000624 105 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.4G 0.02136 0.0138 0.0006128 106 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.4G 0.02165 0.01361 0.0006037 172 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.4G 0.02119 0.01396 0.0006115 113 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.4G 0.02148 0.01362 0.000588 160 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.4G 0.02104 0.01365 0.0005863 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.4G 0.02067 0.01353 0.0005698 158 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.4G 0.02101 0.01352 0.0005628 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.4G 0.0207 0.01366 0.0005587 135 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.4G 0.0208 0.01362 0.0005538 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.4G 0.02086 0.01318 0.0005268 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.4G 0.02048 0.01363 0.0005472 100 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.4G 0.02025 0.01385 0.0005293 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.4G 0.02053 0.01355 0.0005203 83 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.4G 0.02076 0.01352 0.0005246 98 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.4G 0.02029 0.01365 0.0004979 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.4G 0.02037 0.01341 0.000491 255 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.4G 0.01981 0.01312 0.0004894 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.4G 0.01989 0.01326 0.0004815 105 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.4G 0.01974 0.01305 0.0004748 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.4G 0.02021 0.01367 0.0004667 141 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.4G 0.0195 0.01326 0.0004566 152 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.4G 0.02009 0.01355 0.0004473 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.4G 0.01942 0.01319 0.000441 130 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.4G 0.01944 0.0131 0.0004429 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.4G 0.01917 0.01312 0.0004315 112 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.4G 0.01908 0.01263 0.0004185 126 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.4G 0.01893 0.01263 0.0004186 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.4G 0.0189 0.01258 0.0003977 134 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.4G 0.0188 0.01312 0.0004021 87 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.4G 0.01828 0.01265 0.0003906 97 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.4G 0.01866 0.01269 0.0003979 147 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.4G 0.01847 0.01267 0.0003766 79 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.4G 0.01858 0.01274 0.0003693 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.4G 0.01836 0.01254 0.0003734 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.4G 0.01827 0.01271 0.0003786 182 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.4G 0.0182 0.01238 0.0003429 162 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.4G 0.01789 0.01248 0.0003473 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.4G 0.01823 0.01257 0.0003537 130 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.4G 0.01815 0.01224 0.0003478 124 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.4G 0.01808 0.01238 0.0003338 127 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.4G 0.01849 0.01303 0.0003297 216 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.4G 0.01773 0.01236 0.0003283 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.4G 0.01755 0.01261 0.0003082 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.4G 0.01769 0.01265 0.0003125 90 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.4G 0.01758 0.01217 0.0002962 86 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.4G 0.0177 0.01234 0.0002972 89 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.4G 0.01779 0.01234 0.00028 216 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.4G 0.01762 0.0129 0.0002763 142 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.4G 0.01753 0.01256 0.0002798 167 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.4G 0.01757 0.01234 0.0002726 156 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.4G 0.01741 0.0121 0.0002646 147 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.4G 0.01669 0.01164 0.0002611 87 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.4G 0.01705 0.01208 0.0002535 79 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.4G 0.01716 0.01211 0.0002421 138 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.4G 0.01716 0.0122 0.0002349 70 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.4G 0.01672 0.0122 0.0002365 165 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.4G 0.01673 0.01208 0.000224 150 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.4G 0.0167 0.01152 0.0002205 127 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.4G 0.01685 0.01187 0.000222 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.4G 0.0165 0.0118 0.0002082 169 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.4G 0.01675 0.01213 0.0002113 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.4G 0.01627 0.01154 0.0002042 116 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.4G 0.017 0.01187 0.0002051 103 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.4G 0.01634 0.01156 0.0002085 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.4G 0.01623 0.01216 0.0002002 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.4G 0.01597 0.01139 0.0002003 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.4G 0.01669 0.01164 0.000194 178 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.4G 0.01583 0.01162 0.0001905 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.4G 0.01632 0.01123 0.0001907 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.4G 0.01673 0.01197 0.0001838 138 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.4G 0.01601 0.01136 0.0001848 187 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.4G 0.01611 0.0114 0.0001751 193 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.4G 0.01645 0.01153 0.0001857 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.849 0.589 0.694 0.426
150 epochs completed in 1.209 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 7 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.84915, 0.58878, 0.69407, 0.42622, 0.030192, 0.015453, 0.00070079, 0.00757, 0.01, 0.77581, 0.00041, 2.3839, 0.60638, 0.08967, 0.06646, 0.29164, 0.73032, 1.0344, 0.74016, 0.2, 5.3071, 0, 0.01328, 0.5395, 0.588, 0, 0.10468, 0.59553, 0, 0, 0, 0.5, 1, 0, 0, 4.0415
hyperparameters: lr0=0.00771, lrf=0.01057, momentum=0.76148, weight_decay=0.00034, warmup_epochs=2.04515, warmup_momentum=0.90848, warmup_bias_lr=0.1172, box=0.06646, cls=0.2688, cls_pw=0.54361, obj=1.45481, obj_pw=0.86995, iou_t=0.2, anchor_t=5.77876, fl_gamma=0.0, hsv_h=0.01881, hsv_s=0.46383, hsv_v=0.45386, degrees=0.0, translate=0.10707, scale=0.56543, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, anchors=3.6248
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.6248
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 62804 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7]], [320, 640, 1280]]
Model summary: 445 layers, 86240244 parameters, 86240244 gradients, 204.7 GFLOPs
Transferred 738/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00771) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.00031875), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 415.52it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.59 anchors/target, 0.139 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 12 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7585: 100% 1000/1000 [00:02<00:00, 428.24it/s]
AutoAnchor: thr=0.17: 0.9831 best possible recall, 9.22 anchors past thr
AutoAnchor: n=12, img_size=640, metric_all=0.347/0.760-mean/best, past_thr=0.420-mean: 16,16, 36,32, 21,67, 47,56, 72,67, 119,42, 51,135, 117,115, 220,81, 79,277, 185,179, 280,298
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.4G 0.09264 0.08553 0.007429 125 640: 100% 78/78 [00:31<00:00, 2.51it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.4G 0.05577 0.04456 0.004519 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.4G 0.05343 0.03609 0.004019 120 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.4G 0.04804 0.03465 0.003848 108 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.4G 0.04539 0.03191 0.003771 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.4G 0.04334 0.03148 0.003564 143 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.4G 0.0411 0.03134 0.003442 151 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.4G 0.0392 0.02982 0.003185 98 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.4G 0.03832 0.02906 0.003204 89 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.4G 0.03678 0.02949 0.003012 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.4G 0.03566 0.02785 0.002688 126 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.4G 0.03543 0.02799 0.002741 88 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.4G 0.03463 0.02772 0.002584 99 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.4G 0.03443 0.02851 0.002461 158 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.4G 0.03421 0.02667 0.002368 75 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.4G 0.03336 0.02656 0.002363 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.4G 0.03241 0.02682 0.002144 170 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.4G 0.0324 0.02589 0.002041 95 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.4G 0.03175 0.02617 0.001923 108 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.4G 0.032 0.02535 0.001941 149 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.4G 0.03144 0.02662 0.001897 123 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.4G 0.03118 0.02695 0.001842 64 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.4G 0.03028 0.02556 0.001722 103 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.4G 0.03105 0.02574 0.001754 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.4G 0.03009 0.0263 0.001655 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.4G 0.03013 0.02599 0.001558 117 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.4G 0.02949 0.02493 0.001519 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.4G 0.02922 0.02512 0.001503 201 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.4G 0.0285 0.02442 0.001419 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.4G 0.02899 0.02488 0.001411 149 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.4G 0.02861 0.02482 0.001392 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.4G 0.02843 0.02536 0.001373 129 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.4G 0.02812 0.02437 0.001298 149 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.4G 0.02808 0.02456 0.001292 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.4G 0.02748 0.02398 0.001247 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.4G 0.02768 0.02371 0.00123 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.4G 0.02677 0.02446 0.001202 123 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.4G 0.02689 0.02429 0.001151 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.4G 0.02695 0.02394 0.00116 94 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.4G 0.0267 0.02362 0.001138 82 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.4G 0.02656 0.02376 0.001124 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.4G 0.02686 0.02373 0.001087 131 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.4G 0.02647 0.02409 0.001069 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.4G 0.02631 0.02304 0.001042 112 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.4G 0.02542 0.02287 0.001028 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.4G 0.02559 0.02264 0.001007 114 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.4G 0.02542 0.02384 0.001 122 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.4G 0.0253 0.02284 0.0009759 165 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.4G 0.02579 0.02341 0.0009754 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.4G 0.02524 0.02297 0.0009477 84 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.4G 0.02513 0.02262 0.000937 142 640: 100% 78/78 [00:28<00:00, 2.71it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.4G 0.02451 0.02287 0.0008982 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.4G 0.02465 0.02294 0.0009076 126 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.4G 0.02416 0.02168 0.0008831 178 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.4G 0.02412 0.02235 0.0008629 180 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.4G 0.0241 0.02236 0.0008504 144 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.4G 0.02362 0.02135 0.0008374 95 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.4G 0.02347 0.02159 0.000828 138 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.4G 0.02399 0.02282 0.0008127 158 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.4G 0.0236 0.02249 0.0008188 110 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.4G 0.0231 0.0214 0.0007917 89 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.4G 0.02366 0.02087 0.0007778 83 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.4G 0.02324 0.02182 0.0007626 115 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.4G 0.02233 0.02083 0.0007533 128 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.4G 0.02341 0.02205 0.0007492 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.4G 0.02258 0.02094 0.0007321 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.4G 0.02274 0.02111 0.0007356 116 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.4G 0.02295 0.02147 0.0007303 120 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.4G 0.02257 0.02077 0.0007269 151 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.4G 0.02267 0.02227 0.000703 101 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.4G 0.02206 0.02113 0.0006871 117 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.4G 0.02252 0.02084 0.0006833 88 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.4G 0.02264 0.02114 0.00067 160 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.4G 0.02187 0.02147 0.0006523 114 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.4G 0.02183 0.02118 0.00065 169 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.4G 0.02167 0.02077 0.0006514 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.4G 0.02174 0.02087 0.0006396 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.4G 0.02183 0.02097 0.0006308 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.4G 0.02179 0.02068 0.0006237 168 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.4G 0.0215 0.02146 0.000627 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.4G 0.02169 0.02092 0.0006072 159 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.4G 0.02138 0.02097 0.0005992 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.4G 0.02102 0.02078 0.0005881 157 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.4G 0.02141 0.02078 0.0005849 103 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.4G 0.02068 0.02081 0.000569 136 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.4G 0.02128 0.02068 0.0005666 117 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.4G 0.02111 0.02039 0.0005496 121 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.4G 0.02078 0.02087 0.0005544 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.4G 0.02038 0.02111 0.0005391 142 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.4G 0.02084 0.02066 0.0005309 83 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.4G 0.02114 0.0208 0.0005443 98 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.4G 0.02047 0.02084 0.0005156 152 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.4G 0.02051 0.02021 0.0005032 248 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.4G 0.02013 0.01998 0.0005067 114 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.4G 0.02007 0.02019 0.0004956 105 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.4G 0.02003 0.0201 0.0004922 102 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.4G 0.02039 0.02082 0.000482 142 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.4G 0.01985 0.02018 0.0004701 154 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.4G 0.02043 0.02063 0.000466 94 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.4G 0.01992 0.02009 0.0004578 130 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.4G 0.01973 0.0199 0.0004473 84 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.4G 0.01955 0.0198 0.000446 111 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.4G 0.01953 0.01942 0.0004403 123 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.4G 0.01913 0.01916 0.0004273 109 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.4G 0.01918 0.01927 0.0004171 134 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.4G 0.01928 0.02005 0.0004195 87 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.4G 0.01876 0.01955 0.0004132 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.4G 0.01913 0.01936 0.0004174 146 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.4G 0.01874 0.01926 0.0003936 80 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.4G 0.01905 0.01958 0.000387 122 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.4G 0.01872 0.0193 0.0003856 96 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.4G 0.01858 0.01964 0.0003936 172 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.4G 0.01887 0.01901 0.0003627 160 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.4G 0.01853 0.01918 0.0003661 96 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.4G 0.01863 0.01901 0.0003708 132 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.4G 0.01863 0.01879 0.000362 119 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.4G 0.01844 0.0189 0.0003466 124 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.4G 0.01887 0.01973 0.0003427 206 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.4G 0.01828 0.01891 0.000335 106 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.4G 0.01794 0.01918 0.0003292 108 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.4G 0.01818 0.01913 0.0003224 91 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.4G 0.01797 0.01871 0.0003178 85 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.4G 0.01814 0.01859 0.0003136 90 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.4G 0.01814 0.01882 0.000302 216 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.4G 0.01808 0.01989 0.0003039 141 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.4G 0.01801 0.01894 0.0002933 164 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.4G 0.01806 0.01884 0.0002948 156 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.4G 0.01794 0.0186 0.0002866 141 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.4G 0.0172 0.01758 0.000281 84 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.4G 0.01758 0.01828 0.0002709 79 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.4G 0.01763 0.01863 0.0002645 134 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.4G 0.01769 0.01881 0.0002615 69 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.4G 0.0171 0.01837 0.0002573 162 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.4G 0.01737 0.01849 0.0002517 149 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.4G 0.01724 0.01759 0.0002462 126 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.4G 0.01728 0.0182 0.0002516 125 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.4G 0.017 0.01795 0.0002352 168 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.4G 0.01728 0.01834 0.0002381 167 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.4G 0.01666 0.01752 0.0002303 117 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.4G 0.0177 0.01805 0.0002321 99 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.4G 0.01701 0.01781 0.0002297 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.4G 0.01673 0.01859 0.000225 107 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.4G 0.0165 0.01744 0.0002288 83 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.4G 0.01718 0.01775 0.0002173 178 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.4G 0.01635 0.0177 0.0002171 126 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.4G 0.01685 0.017 0.000218 86 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.4G 0.01716 0.01806 0.0002133 139 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.4G 0.0166 0.01743 0.0002101 186 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.4G 0.01674 0.01733 0.0002056 188 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.4G 0.01689 0.01753 0.0002145 117 640: 100% 78/78 [00:28<00:00, 2.70it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.07it/s]
all 863 3065 0.822 0.596 0.687 0.43
150 epochs completed in 1.209 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 8 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.82166, 0.59634, 0.68702, 0.43005, 0.031279, 0.025232, 0.00062832, 0.00771, 0.01057, 0.76148, 0.00034, 2.0452, 0.90848, 0.1172, 0.06646, 0.2688, 0.54361, 1.4548, 0.86995, 0.2, 5.7788, 0, 0.01881, 0.46383, 0.45386, 0, 0.10707, 0.56543, 0, 0, 0, 0.5, 1, 0, 0, 3.6248
hyperparameters: lr0=0.00771, lrf=0.01003, momentum=0.89274, weight_decay=0.00041, warmup_epochs=2.40371, warmup_momentum=0.65959, warmup_bias_lr=0.08967, box=0.04803, cls=0.2, cls_pw=0.95129, obj=0.79905, obj_pw=1.00673, iou_t=0.2, anchor_t=4.94241, fl_gamma=0.0, hsv_h=0.01438, hsv_s=0.50996, hsv_v=0.54074, degrees=0.0, translate=0.10765, scale=0.51502, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=0.71596, mixup=0.0, copy_paste=0.0, anchors=3.6248
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.6248
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 62804 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7]], [320, 640, 1280]]
Model summary: 445 layers, 86240244 parameters, 86240244 gradients, 204.7 GFLOPs
Transferred 738/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00771) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.000384375), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 413.84it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.38 anchors/target, 0.089 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 12 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7617: 100% 1000/1000 [00:03<00:00, 320.94it/s]
AutoAnchor: thr=0.20: 0.9795 best possible recall, 8.43 anchors past thr
AutoAnchor: n=12, img_size=640, metric_all=0.351/0.764-mean/best, past_thr=0.449-mean: 17,15, 36,31, 21,69, 46,56, 73,63, 137,36, 67,98, 151,88, 127,129, 79,290, 195,188, 339,323
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 23.4G 0.08099 0.04821 0.009037 77 640: 100% 78/78 [00:31<00:00, 2.47it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 23.4G 0.04178 0.04434 0.005972 113 640: 100% 78/78 [00:29<00:00, 2.66it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 23.4G 0.03882 0.02026 0.003765 69 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 23.4G 0.03255 0.01682 0.00304 103 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 23.4G 0.02929 0.01566 0.002616 90 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 23.4G 0.02779 0.01502 0.002337 103 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 23.4G 0.02611 0.01491 0.002083 102 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 23.4G 0.0252 0.01466 0.001864 57 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 23.4G 0.02453 0.01425 0.001712 102 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 23.4G 0.02375 0.01382 0.001504 188 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 23.4G 0.02321 0.01325 0.00137 90 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 23.4G 0.02294 0.0136 0.001291 87 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 23.4G 0.02252 0.01351 0.001276 124 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 23.4G 0.02193 0.013 0.001101 69 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 23.4G 0.02196 0.01311 0.001094 84 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 23.4G 0.02178 0.01328 0.001018 78 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 23.4G 0.02086 0.01288 0.0009705 60 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 23.4G 0.02108 0.01303 0.0009172 105 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 23.4G 0.02044 0.01268 0.0008467 69 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 23.4G 0.02014 0.01265 0.0008255 101 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 23.4G 0.02019 0.01269 0.0007952 113 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 23.4G 0.01959 0.01274 0.0007798 87 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 23.4G 0.01954 0.01269 0.000742 73 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 23.4G 0.02 0.01246 0.000744 106 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 23.4G 0.01917 0.01217 0.0007008 73 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 23.4G 0.01882 0.0122 0.0006755 108 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 23.4G 0.0184 0.01209 0.0006485 107 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 23.4G 0.01917 0.01205 0.0006501 102 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 23.4G 0.01839 0.01217 0.0006193 99 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 23.4G 0.01904 0.01265 0.000641 93 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 23.4G 0.01828 0.01167 0.0005971 51 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 23.4G 0.01797 0.012 0.0005968 91 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 23.4G 0.01792 0.01163 0.0005743 140 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 23.4G 0.0181 0.01168 0.0005593 78 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 23.4G 0.01764 0.01175 0.0005323 122 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 23.4G 0.01719 0.01182 0.0005294 112 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 23.4G 0.01706 0.0119 0.000498 59 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 23.4G 0.01717 0.0115 0.0004771 131 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 23.4G 0.01758 0.01204 0.0004962 94 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 23.4G 0.01721 0.0116 0.0004703 118 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 23.4G 0.01659 0.01141 0.0004447 90 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 23.4G 0.01659 0.01106 0.0004515 56 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 23.4G 0.01654 0.01158 0.000446 63 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 23.4G 0.01672 0.01125 0.000447 79 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 23.4G 0.01649 0.01179 0.0004268 91 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 23.4G 0.01636 0.01142 0.0004105 100 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 23.4G 0.01624 0.01132 0.0004277 84 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 23.4G 0.01653 0.01144 0.000428 95 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 23.4G 0.01581 0.01065 0.0003967 114 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 23.4G 0.0162 0.01121 0.0003876 68 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 23.4G 0.01602 0.01126 0.0003887 63 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 23.4G 0.01576 0.01114 0.000369 143 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 23.4G 0.01564 0.0105 0.0003811 84 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 23.4G 0.01585 0.0113 0.0003626 149 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 23.4G 0.01577 0.01038 0.0004051 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 23.4G 0.01524 0.01116 0.0003614 74 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 23.4G 0.01487 0.01023 0.0003298 59 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 23.4G 0.01508 0.01042 0.0003292 63 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 23.4G 0.01517 0.01043 0.0003224 142 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 23.4G 0.01519 0.01078 0.000346 77 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 23.4G 0.01504 0.01049 0.000334 148 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 23.4G 0.01481 0.01071 0.0003269 64 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 23.4G 0.01499 0.01045 0.0003186 143 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 23.4G 0.01477 0.01082 0.0003235 78 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 23.4G 0.01456 0.01047 0.0002957 122 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 23.4G 0.01438 0.01023 0.0002839 102 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 23.4G 0.01445 0.01043 0.0003007 100 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 23.4G 0.01423 0.01022 0.0002812 94 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 23.4G 0.01434 0.009985 0.000268 159 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 23.4G 0.01408 0.01011 0.0002607 74 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 23.4G 0.01443 0.01059 0.0002773 101 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 23.4G 0.01418 0.0102 0.0002691 121 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 23.4G 0.01399 0.009817 0.0002581 112 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 23.4G 0.01396 0.01022 0.0002561 103 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 23.4G 0.01356 0.01009 0.0002452 163 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 23.4G 0.01372 0.00976 0.0002361 100 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 23.4G 0.0137 0.01013 0.0002377 67 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 23.4G 0.01383 0.009773 0.0002499 130 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 23.4G 0.01382 0.01016 0.0002369 80 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 23.4G 0.0136 0.01012 0.0002476 77 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 23.4G 0.01352 0.01006 0.0002248 172 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 23.4G 0.01318 0.009318 0.0002304 85 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 23.4G 0.0131 0.00968 0.000222 101 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 23.4G 0.01291 0.009688 0.0002176 74 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 23.4G 0.01275 0.009508 0.0002156 121 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 23.4G 0.01304 0.009509 0.0002081 157 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 23.4G 0.01281 0.009321 0.0002055 140 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 23.4G 0.01281 0.00952 0.0002041 132 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 23.4G 0.01246 0.00937 0.0001964 99 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 23.4G 0.01288 0.009506 0.000187 82 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 23.4G 0.01276 0.009157 0.0001995 113 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 23.4G 0.01299 0.009607 0.0001891 110 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 23.4G 0.01275 0.00975 0.0001908 50 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 23.4G 0.01261 0.009403 0.000184 48 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 23.4G 0.01246 0.009498 0.0001911 158 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 23.4G 0.01224 0.009083 0.0001735 82 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 23.4G 0.01176 0.00908 0.0001743 99 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 23.4G 0.01249 0.009088 0.0001637 93 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 23.4G 0.01196 0.009495 0.0001661 138 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 23.4G 0.01194 0.009021 0.0001745 78 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 23.4G 0.012 0.009177 0.0001541 110 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 23.4G 0.01179 0.008783 0.0001567 81 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 23.4G 0.01193 0.008906 0.0001591 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 23.4G 0.0117 0.008742 0.0001461 122 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 23.4G 0.01193 0.009311 0.0001572 111 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 23.4G 0.01163 0.008943 0.0001393 84 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 23.4G 0.01162 0.008876 0.0001461 84 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 23.4G 0.01166 0.008896 0.0001415 83 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 23.4G 0.01136 0.008669 0.0001293 89 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 23.4G 0.01134 0.008701 0.0001321 100 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 23.4G 0.01178 0.008823 0.0001323 115 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 23.4G 0.01115 0.008369 0.0001239 101 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 23.4G 0.01128 0.00837 0.000123 138 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 23.4G 0.01095 0.008671 0.0001206 141 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 23.4G 0.01117 0.008597 0.0001208 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 23.4G 0.01111 0.008459 0.0001203 64 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 23.4G 0.01108 0.008381 0.0001127 110 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 23.4G 0.01087 0.008159 0.0001176 91 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 23.4G 0.0109 0.008487 0.0001179 89 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 23.4G 0.01116 0.008622 0.0001045 90 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 23.4G 0.0109 0.00851 0.0001093 84 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 23.4G 0.01084 0.008393 0.0001068 76 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 23.4G 0.01084 0.008401 0.0001026 115 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 23.4G 0.01089 0.008143 0.0001056 89 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 23.4G 0.01051 0.008414 9.418e-05 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 23.4G 0.0106 0.008003 9.256e-05 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 23.4G 0.01042 0.007958 9.083e-05 107 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 23.4G 0.01088 0.008332 9.884e-05 113 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 23.4G 0.01046 0.008221 8.936e-05 82 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 23.4G 0.01049 0.008178 8.622e-05 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 23.4G 0.01057 0.00811 8.259e-05 130 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 23.4G 0.01042 0.008299 8.042e-05 118 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 23.4G 0.01033 0.008078 7.905e-05 96 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 23.4G 0.01027 0.008078 8.67e-05 102 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 23.4G 0.01035 0.008241 7.529e-05 85 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 23.4G 0.01033 0.008097 7.489e-05 115 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 23.4G 0.0102 0.007906 8.031e-05 116 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 23.4G 0.01024 0.00771 8.287e-05 138 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 23.4G 0.01005 0.007828 7.745e-05 81 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 23.4G 0.01029 0.008056 7.173e-05 82 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 23.4G 0.009797 0.007729 7.332e-05 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 23.4G 0.01001 0.007422 6.987e-05 71 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 23.4G 0.01021 0.007801 8.532e-05 102 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 23.4G 0.01031 0.007979 7.777e-05 71 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 23.4G 0.009972 0.007914 7.152e-05 77 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 23.4G 0.009735 0.007497 6.734e-05 92 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 23.4G 0.009938 0.00764 6.346e-05 174 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 23.4G 0.009965 0.007657 6.278e-05 66 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 23.4G 0.009672 0.007507 6.476e-05 117 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 23.4G 0.009621 0.007282 7.531e-05 110 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.08it/s]
all 863 3065 0.782 0.609 0.684 0.435
150 epochs completed in 1.215 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 9 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.78235, 0.6094, 0.68395, 0.43506, 0.021714, 0.014891, 0.00054534, 0.00771, 0.01003, 0.89274, 0.00041, 2.4037, 0.65959, 0.08967, 0.04803, 0.2, 0.95129, 0.79905, 1.0067, 0.2, 4.9424, 0, 0.01438, 0.50996, 0.54074, 0, 0.10765, 0.51502, 0, 0, 0, 0.5, 0.71596, 0, 0, 3.6248
hyperparameters: lr0=0.00727, lrf=0.01014, momentum=0.82576, weight_decay=0.00043, warmup_epochs=2.4792, warmup_momentum=0.67703, warmup_bias_lr=0.09481, box=0.06647, cls=0.29164, cls_pw=0.81723, obj=1.01445, obj_pw=0.88429, iou_t=0.2, anchor_t=5.02624, fl_gamma=0.0, hsv_h=0.0138, hsv_s=0.5689, hsv_v=0.61851, degrees=0.0, translate=0.09848, scale=0.56916, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, anchors=3.74373
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet
Overriding model.yaml anchors with anchors=3.74373
from n params module arguments
0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2]
1 -1 1 115520 models.common.Conv [80, 160, 3, 2]
2 -1 4 309120 models.common.C3 [160, 160, 4]
3 -1 1 461440 models.common.Conv [160, 320, 3, 2]
4 -1 8 2259200 models.common.C3 [320, 320, 8]
5 -1 1 1844480 models.common.Conv [320, 640, 3, 2]
6 -1 12 13125120 models.common.C3 [640, 640, 12]
7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2]
8 -1 4 19676160 models.common.C3 [1280, 1280, 4]
9 -1 1 4099840 models.common.SPPF [1280, 1280, 5]
10 -1 1 820480 models.common.Conv [1280, 640, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 4 5332480 models.common.C3 [1280, 640, 4, False]
14 -1 1 205440 models.common.Conv [640, 320, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 4 1335040 models.common.C3 [640, 320, 4, False]
18 -1 1 922240 models.common.Conv [320, 320, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 4 4922880 models.common.C3 [640, 640, 4, False]
21 -1 1 3687680 models.common.Conv [640, 640, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False]
24 [17, 20, 23] 1 62804 models.yolo.Detect [2, [[0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7], [0, 1, 2, 3, 4, 5, 6, 7]], [320, 640, 1280]]
Model summary: 445 layers, 86240244 parameters, 86240244 gradients, 204.7 GFLOPs
Transferred 738/745 items from /content/drive/MyDrive/dataset/colab_exports/Zeile31_XLmod_Background_Tiled_TrainingData2/weights/best.pt
AMP: checks passed ✅
optimizer: SGD(lr=0.00727) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.000403125), 126 bias
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/train.cache' images and labels... 2063 found, 268 missing, 0 empty, 0 corrupt: 100% 2331/2331 [00:00<?, ?it/s]
train: Caching images (2.6GB ram): 100% 2331/2331 [00:05<00:00, 410.97it/s]
val: Scanning '/content/drive/.shortcut-targets-by-id/1DtWd-ty0K_u8cgz4TVHdxvNJtgMXLO1c/dataset_tile/tiled/labels/validation.cache' images and labels... 655 found, 208 missing, 0 empty, 0 corrupt: 100% 863/863 [00:00<?, ?it/s]
AutoAnchor: 0.40 anchors/target, 0.093 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...
AutoAnchor: WARNING ⚠️ Extremely small objects found: 151 of 9527 labels are <3 pixels in size
AutoAnchor: Running kmeans for 12 anchors on 9527 points...
AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.7577: 100% 1000/1000 [00:03<00:00, 280.33it/s]
AutoAnchor: thr=0.20: 0.9804 best possible recall, 8.44 anchors past thr
AutoAnchor: n=12, img_size=640, metric_all=0.344/0.760-mean/best, past_thr=0.438-mean: 16,15, 35,31, 21,67, 47,56, 120,39, 73,68, 50,136, 119,116, 214,84, 88,296, 185,176, 289,309
AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future)
Plotting labels to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/labels.jpg...
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Starting training for 150 epochs...
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
0/149 24.2G 0.1083 0.06262 0.01164 125 640: 100% 78/78 [00:31<00:00, 2.48it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
1/149 24.2G 0.05351 0.05842 0.007695 133 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
2/149 24.2G 0.05275 0.03221 0.005259 119 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
3/149 24.2G 0.04794 0.02592 0.004511 108 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
4/149 24.2G 0.04441 0.02257 0.004249 117 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
5/149 24.2G 0.04065 0.0218 0.003877 143 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
6/149 24.2G 0.03911 0.02142 0.003599 151 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
7/149 24.2G 0.03695 0.02022 0.003222 98 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
8/149 24.2G 0.03621 0.01982 0.003106 92 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
9/149 24.2G 0.03494 0.02007 0.002848 87 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
10/149 24.2G 0.03392 0.0186 0.002483 128 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
11/149 24.2G 0.03352 0.01882 0.00247 88 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
12/149 24.2G 0.03258 0.01855 0.002293 99 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
13/149 24.2G 0.03227 0.01904 0.002135 161 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
14/149 24.2G 0.03157 0.01769 0.002047 75 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
15/149 24.2G 0.03099 0.01764 0.001987 124 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
16/149 24.2G 0.03012 0.01779 0.001815 171 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
17/149 24.2G 0.02984 0.01711 0.001705 97 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
18/149 24.2G 0.02947 0.0172 0.001625 109 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
19/149 24.2G 0.02974 0.01671 0.001601 154 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
20/149 24.2G 0.02918 0.01737 0.001561 123 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
21/149 24.2G 0.02932 0.01791 0.001515 65 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
22/149 24.2G 0.02845 0.01677 0.001441 102 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
23/149 24.2G 0.02879 0.01697 0.001472 109 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
24/149 24.2G 0.02768 0.01725 0.001391 122 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
25/149 24.2G 0.02778 0.01702 0.001337 117 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
26/149 24.2G 0.02728 0.01637 0.001298 102 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
27/149 24.2G 0.02754 0.01661 0.00129 200 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
28/149 24.2G 0.02636 0.01605 0.001218 116 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
29/149 24.2G 0.02703 0.01632 0.001232 149 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
30/149 24.2G 0.02658 0.01638 0.001185 86 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
31/149 24.2G 0.02638 0.01668 0.001172 131 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
32/149 24.2G 0.026 0.01615 0.001104 150 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
33/149 24.2G 0.02619 0.01628 0.001093 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
34/149 24.2G 0.02559 0.01575 0.001083 130 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
35/149 24.2G 0.02528 0.01562 0.001047 127 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
36/149 24.2G 0.02496 0.01613 0.001009 123 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
37/149 24.2G 0.02547 0.01599 0.001006 107 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
38/149 24.2G 0.02495 0.01584 0.0009895 95 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
39/149 24.2G 0.02454 0.01554 0.0009673 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
40/149 24.2G 0.02442 0.01558 0.0009489 107 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
41/149 24.2G 0.02499 0.01553 0.0009121 131 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
42/149 24.2G 0.02407 0.01582 0.0009183 119 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
43/149 24.2G 0.02418 0.01529 0.0008829 115 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
44/149 24.2G 0.02401 0.01516 0.000888 164 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
45/149 24.2G 0.02378 0.01486 0.0008525 116 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
46/149 24.2G 0.02358 0.01567 0.0008609 121 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
47/149 24.2G 0.02347 0.01503 0.0008474 164 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
48/149 24.2G 0.02347 0.01537 0.0008278 109 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
49/149 24.2G 0.02306 0.015 0.0007936 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
50/149 24.2G 0.02311 0.01485 0.000799 143 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
51/149 24.2G 0.0227 0.01483 0.0007655 139 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
52/149 24.2G 0.02304 0.01517 0.0007735 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
53/149 24.2G 0.02268 0.01425 0.00074 179 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
54/149 24.2G 0.02221 0.01474 0.0007451 178 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
55/149 24.2G 0.02219 0.01459 0.0007249 146 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
56/149 24.2G 0.02206 0.01402 0.0007213 96 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
57/149 24.2G 0.02178 0.01407 0.0007118 136 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
58/149 24.2G 0.0222 0.01485 0.0007031 158 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
59/149 24.2G 0.0219 0.0149 0.0007046 110 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
60/149 24.2G 0.02111 0.01399 0.0006742 88 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
61/149 24.2G 0.02168 0.01373 0.0006663 86 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
62/149 24.2G 0.02151 0.01418 0.0006523 114 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
63/149 24.2G 0.0206 0.01353 0.0006487 128 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
64/149 24.2G 0.02152 0.01446 0.0006358 100 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
65/149 24.2G 0.02093 0.01367 0.0006349 85 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
66/149 24.2G 0.02105 0.01387 0.0006369 116 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
67/149 24.2G 0.02088 0.01399 0.0006201 119 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
68/149 24.2G 0.02055 0.01368 0.0006189 152 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
69/149 24.2G 0.02048 0.0146 0.0006011 101 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
70/149 24.2G 0.02019 0.01382 0.0005829 119 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
71/149 24.2G 0.02047 0.01364 0.0005811 89 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
72/149 24.2G 0.02037 0.0138 0.000565 162 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
73/149 24.2G 0.01994 0.01403 0.0005459 115 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
74/149 24.2G 0.02004 0.01374 0.0005467 169 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
75/149 24.2G 0.02017 0.01362 0.0005501 167 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
76/149 24.2G 0.01983 0.0136 0.0005342 105 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
77/149 24.2G 0.01971 0.01376 0.0005374 105 640: 100% 78/78 [00:28<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
78/149 24.2G 0.01994 0.01364 0.0005207 169 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
79/149 24.2G 0.0195 0.01396 0.0005298 111 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
80/149 24.2G 0.0199 0.01363 0.0005156 157 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
81/149 24.2G 0.01954 0.01366 0.000514 103 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
82/149 24.2G 0.0193 0.01359 0.0004992 158 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
83/149 24.2G 0.01955 0.01346 0.0004854 104 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
84/149 24.2G 0.01927 0.01366 0.0004735 135 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
85/149 24.2G 0.0195 0.01359 0.0004857 116 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
86/149 24.2G 0.01912 0.0132 0.0004558 122 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
87/149 24.2G 0.01922 0.01376 0.000482 98 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
88/149 24.2G 0.01869 0.01379 0.0004548 142 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
89/149 24.2G 0.01886 0.01338 0.000445 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
90/149 24.2G 0.01927 0.01345 0.0004482 97 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
91/149 24.2G 0.01867 0.01362 0.000418 153 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
92/149 24.2G 0.01898 0.01339 0.0004211 250 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
93/149 24.2G 0.01851 0.0132 0.0004268 117 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
94/149 24.2G 0.01824 0.01321 0.0004175 106 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
95/149 24.2G 0.01832 0.01323 0.0004056 104 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
96/149 24.2G 0.01855 0.01349 0.000403 141 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
97/149 24.2G 0.01798 0.01316 0.0003936 154 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
98/149 24.2G 0.01835 0.01351 0.0003873 95 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
99/149 24.2G 0.01813 0.01303 0.0003746 129 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
100/149 24.2G 0.01791 0.01292 0.0003648 85 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
101/149 24.2G 0.01764 0.01293 0.0003648 112 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
102/149 24.2G 0.01758 0.01267 0.0003666 123 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
103/149 24.2G 0.0174 0.01252 0.0003543 108 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
104/149 24.2G 0.01738 0.01254 0.0003359 134 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
105/149 24.2G 0.01717 0.01305 0.0003407 87 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
106/149 24.2G 0.01692 0.01275 0.0003347 94 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
107/149 24.2G 0.01719 0.01269 0.0003442 147 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
108/149 24.2G 0.01699 0.01257 0.0003135 80 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
109/149 24.2G 0.01712 0.01265 0.0003111 123 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
110/149 24.2G 0.01684 0.01241 0.000317 96 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
111/149 24.2G 0.01681 0.01269 0.0003232 179 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
112/149 24.2G 0.0168 0.01238 0.0002925 159 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
113/149 24.2G 0.01644 0.01232 0.0002888 96 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
114/149 24.2G 0.01668 0.01244 0.0002979 129 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
115/149 24.2G 0.0166 0.01212 0.0002892 120 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
116/149 24.2G 0.01658 0.01215 0.0002737 125 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
117/149 24.2G 0.01684 0.01276 0.0002682 210 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
118/149 24.2G 0.01625 0.01235 0.0002693 106 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
119/149 24.2G 0.01596 0.01238 0.0002573 111 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
120/149 24.2G 0.01604 0.01241 0.0002507 90 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
121/149 24.2G 0.01602 0.01196 0.0002458 84 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
122/149 24.2G 0.01619 0.0121 0.0002475 89 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
123/149 24.2G 0.01625 0.01226 0.0002326 218 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
124/149 24.2G 0.01611 0.01281 0.0002365 141 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
125/149 24.2G 0.01596 0.01231 0.0002341 164 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
126/149 24.2G 0.01611 0.01217 0.0002375 156 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
127/149 24.2G 0.01589 0.01193 0.0002243 140 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
128/149 24.2G 0.01527 0.01139 0.0002145 84 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
129/149 24.2G 0.01566 0.01178 0.0002097 80 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
130/149 24.2G 0.01567 0.0119 0.000201 135 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
131/149 24.2G 0.01576 0.01206 0.0002045 70 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
132/149 24.2G 0.01527 0.01186 0.0001975 162 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
133/149 24.2G 0.01521 0.01188 0.0001876 150 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
134/149 24.2G 0.01517 0.01139 0.0001798 127 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
135/149 24.2G 0.01526 0.01172 0.0001856 126 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
136/149 24.2G 0.01498 0.01152 0.0001654 165 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
137/149 24.2G 0.01515 0.01174 0.0001769 167 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
138/149 24.2G 0.01486 0.01133 0.0001623 116 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
139/149 24.2G 0.01531 0.01155 0.0001697 99 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
140/149 24.2G 0.01468 0.0114 0.0001693 90 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
141/149 24.2G 0.01476 0.01188 0.0001657 107 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
142/149 24.2G 0.01437 0.01113 0.0001695 83 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
143/149 24.2G 0.01514 0.01146 0.0001593 177 640: 100% 78/78 [00:29<00:00, 2.69it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
144/149 24.2G 0.01438 0.01142 0.0001515 126 640: 100% 78/78 [00:29<00:00, 2.67it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
145/149 24.2G 0.0147 0.01095 0.000163 87 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
146/149 24.2G 0.01509 0.01164 0.0001492 138 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
147/149 24.2G 0.01448 0.01109 0.000147 186 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
148/149 24.2G 0.01447 0.01102 0.0001407 190 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Epoch GPU_mem box_loss obj_loss cls_loss Instances Size
149/149 24.2G 0.01477 0.01132 0.0001488 117 640: 100% 78/78 [00:29<00:00, 2.68it/s]
Class Images Instances P R mAP50 mAP50-95: 100% 15/15 [00:07<00:00, 2.05it/s]
all 863 3065 0.771 0.602 0.695 0.438
150 epochs completed in 1.214 hours.
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
evolve: 10 generations finished, current result:
evolve: metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, lr0, lrf, momentum, weight_decay, warmup_epochs, warmup_momentum, warmup_bias_lr, box, cls, cls_pw, obj, obj_pw, iou_t, anchor_t, fl_gamma, hsv_h, hsv_s, hsv_v, degrees, translate, scale, shear, perspective, flipud, fliplr, mosaic, mixup, copy_paste, anchors
evolve: 0.77135, 0.60235, 0.69525, 0.43784, 0.029503, 0.01647, 0.00076352, 0.00727, 0.01014, 0.82576, 0.00043, 2.4792, 0.67703, 0.09481, 0.06647, 0.29164, 0.81723, 1.0145, 0.88429, 0.2, 5.0262, 0, 0.0138, 0.5689, 0.61851, 0, 0.09848, 0.56916, 0, 0, 0, 0.5, 1, 0, 0, 3.7437
Best results from row 3 of /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/evolve.csv:
lr0: 0.00949
lrf: 0.01
momentum: 0.864
weight_decay: 0.00052
warmup_epochs: 4.71
warmup_momentum: 0.907
warmup_bias_lr: 0.1
box: 0.0551
cls: 0.478
cls_pw: 1.05
obj: 1.36
obj_pw: 0.986
iou_t: 0.2
anchor_t: 4.33
fl_gamma: 0
hsv_h: 0.0144
hsv_s: 0.486
hsv_v: 0.374
degrees: 0
translate: 0.107
scale: 0.614
shear: 0
perspective: 0
flipud: 0
fliplr: 0.5
mosaic: 0.564
mixup: 0
copy_paste: 0
anchors: 3.07
Saved /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/evolve.png
Hyperparameter evolution finished 10 generations
Results saved to /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3
Usage example: $ python train.py --hyp /content/drive/MyDrive/dataset/colab_exports/Zeile34_XLmod_Background_Tiled_TrainingData3/hyp_evolve.yaml