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New https://pypi.org/project/ultralytics/8.1.41 available 😃 Update with 'pip install -U ultralytics'
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
[34m[1mengine/trainer: [0mtask=detect, mode=train, model=yolov8s.pt, data=custom.yaml, epochs=50, time=None, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train17, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.07395440377656361, lrf=0.766323021237622, momentum=0.7309250768197249, weight_decay=0.0001225355484488283, warmup_epochs=0.7639919750645557, warmup_momentum=0.03715531579668573, warmup_bias_lr=0.1, box=0.1881577310701863, cls=2.6862639136356234, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015600978010081945, hsv_s=0.6181411866401249, hsv_v=0.42780905344250114, degrees=7.979013485098896, translate=0.2678505960442366, scale=0.08629204903073964, shear=2.64135625991666, perspective=0.0009612724581163358, flipud=0.4181298551327851, fliplr=0.8385790048130332, mosaic=0.08635620791039922, mixup=0.39220165547080443, copy_paste=0.13358754265436634, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train17
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 928 ultralytics.nn.modules.conv.Conv [3, 32, 3, 2]
1 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2]
2 -1 1 29056 ultralytics.nn.modules.block.C2f [64, 64, 1, True]
3 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
4 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True]
5 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
6 -1 2 788480 ultralytics.nn.modules.block.C2f [256, 256, 2, True]
7 -1 1 1180672 ultralytics.nn.modules.conv.Conv [256, 512, 3, 2]
8 -1 1 1838080 ultralytics.nn.modules.block.C2f [512, 512, 1, True]
9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5]
10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
12 -1 1 591360 ultralytics.nn.modules.block.C2f [768, 256, 1]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
15 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1]
16 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1]
19 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 1 1969152 ultralytics.nn.modules.block.C2f [768, 512, 1]
22 [15, 18, 21] 1 2116435 ultralytics.nn.modules.head.Detect [1, [128, 256, 512]]
Model summary: 225 layers, 11135987 parameters, 11135971 gradients, 28.6 GFLOPs
Transferred 349/355 items from pretrained weights
wandb: Currently logged in as: fin-jason20. Use `wandb login --relogin` to force relogin
wandb: wandb version 0.16.5 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.16.3
wandb: Run data is saved locally in /scratch/gilbreth/jpfinley/ultralytics/wandb/run-20240402_011108-m3x5goyw
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train17
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/m3x5goyw
Freezing layer 'model.22.dfl.conv.weight'
[34m[1mAMP: [0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...
[34m[1mAMP: [0mchecks passed ✅
[34m[1mtrain: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/train/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mtrain: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/train/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
[34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
Plotting labels to runs/detect/train17/labels.jpg...
[34m[1moptimizer:[0m 'optimizer=auto' found, ignoring 'lr0=0.07395440377656361' and 'momentum=0.7309250768197249' and determining best 'optimizer', 'lr0' and 'momentum' automatically...
[34m[1moptimizer:[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0001225355484488283), 63 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to [1mruns/detect/train17[0m
Starting training for 50 epochs...
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 1/50 3.57G 0.08545 21.49 3.001 200 640: 0%| | 0/1 [00:04<?, ?it/s] 1/50 3.57G 0.08545 21.49 3.001 200 640: 100%|██████████| 1/1 [00:04<00:00, 4.52s/it] 1/50 3.57G 0.08545 21.49 3.001 200 640: 100%|██████████| 1/1 [00:04<00:00, 4.52s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 6.02it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 6.00it/s] all 15 182 0.00533 0.132 0.00305 0.000756
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 3.6G 0.08767 23.16 3.032 137 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 3.6G 0.08767 23.16 3.032 137 640: 100%|██████████| 1/1 [00:00<00:00, 7.61it/s] 2/50 3.6G 0.08767 23.16 3.032 137 640: 100%|██████████| 1/1 [00:00<00:00, 7.60it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.98it/s] all 15 182 0.00533 0.132 0.00305 0.000755
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 3.56G 0.08375 23.43 2.951 150 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 3.56G 0.08375 23.43 2.951 150 640: 100%|██████████| 1/1 [00:00<00:00, 9.46it/s] 3/50 3.56G 0.08375 23.43 2.951 150 640: 100%|██████████| 1/1 [00:00<00:00, 9.44it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.94it/s] all 15 182 0.00533 0.132 0.00304 0.000729
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 3.56G 0.08377 22.38 2.871 147 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 3.56G 0.08377 22.38 2.871 147 640: 100%|██████████| 1/1 [00:00<00:00, 7.62it/s] 4/50 3.56G 0.08377 22.38 2.871 147 640: 100%|██████████| 1/1 [00:00<00:00, 7.60it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.25it/s] all 15 182 0.00444 0.11 0.00249 0.0007
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 3.55G 0.08564 20.83 2.946 222 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 3.55G 0.08564 20.83 2.946 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.37it/s] 5/50 3.55G 0.08564 20.83 2.946 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.35it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.73it/s] all 15 182 0.00444 0.11 0.00251 0.000689
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 3.55G 0.08789 20.92 2.985 188 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 3.55G 0.08789 20.92 2.985 188 640: 100%|██████████| 1/1 [00:00<00:00, 7.65it/s] 6/50 3.55G 0.08789 20.92 2.985 188 640: 100%|██████████| 1/1 [00:00<00:00, 7.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.48it/s] all 15 182 0.00444 0.11 0.0025 0.000663
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 3.55G 0.09037 22.17 3.093 174 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 3.55G 0.09037 22.17 3.093 174 640: 100%|██████████| 1/1 [00:00<00:00, 7.68it/s] 7/50 3.55G 0.09037 22.17 3.093 174 640: 100%|██████████| 1/1 [00:00<00:00, 7.67it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.53it/s] all 15 182 0.00422 0.104 0.00238 0.000641
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 3.55G 0.08674 22.9 3.025 166 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 3.55G 0.08674 22.9 3.025 166 640: 100%|██████████| 1/1 [00:00<00:00, 10.81it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.13it/s] all 15 182 0.00422 0.104 0.00239 0.00067
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 3.59G 0.08439 20.66 2.92 186 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 3.59G 0.08439 20.66 2.92 186 640: 100%|██████████| 1/1 [00:00<00:00, 5.57it/s] 9/50 3.59G 0.08439 20.66 2.92 186 640: 100%|██████████| 1/1 [00:00<00:00, 5.56it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 14.53it/s] all 15 182 0.0301 0.137 0.0151 0.0035
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 3.59G 0.0866 19.58 2.92 127 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 3.59G 0.0866 19.58 2.92 127 640: 100%|██████████| 1/1 [00:00<00:00, 8.13it/s] 10/50 3.59G 0.0866 19.58 2.92 127 640: 100%|██████████| 1/1 [00:00<00:00, 8.12it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.51it/s] all 15 182 0.0338 0.132 0.0151 0.00344
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 3.66G 0.0824 18.4 2.858 176 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 3.66G 0.0824 18.4 2.858 176 640: 100%|██████████| 1/1 [00:00<00:00, 7.87it/s] 11/50 3.66G 0.0824 18.4 2.858 176 640: 100%|██████████| 1/1 [00:00<00:00, 7.86it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.68it/s] all 15 182 0.0649 0.159 0.0299 0.00656
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 3.65G 0.07873 17.91 2.694 153 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 3.65G 0.07873 17.91 2.694 153 640: 100%|██████████| 1/1 [00:00<00:00, 7.83it/s] 12/50 3.65G 0.07873 17.91 2.694 153 640: 100%|██████████| 1/1 [00:00<00:00, 7.82it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.40it/s] all 15 182 0.0827 0.291 0.0586 0.0131
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 3.65G 0.07472 15.62 2.531 171 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 3.65G 0.07472 15.62 2.531 171 640: 100%|██████████| 1/1 [00:00<00:00, 7.75it/s] 13/50 3.65G 0.07472 15.62 2.531 171 640: 100%|██████████| 1/1 [00:00<00:00, 7.74it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.54it/s] all 15 182 0.0401 0.187 0.0241 0.00549
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 3.66G 0.06768 16.15 2.601 183 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 3.66G 0.06768 16.15 2.601 183 640: 100%|██████████| 1/1 [00:00<00:00, 7.80it/s] 14/50 3.66G 0.06768 16.15 2.601 183 640: 100%|██████████| 1/1 [00:00<00:00, 7.79it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.28it/s] all 15 182 0.0561 0.203 0.0361 0.00727
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 3.67G 0.06321 15.55 2.455 174 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 3.67G 0.06321 15.55 2.455 174 640: 100%|██████████| 1/1 [00:00<00:00, 7.12it/s] 15/50 3.67G 0.06321 15.55 2.455 174 640: 100%|██████████| 1/1 [00:00<00:00, 7.10it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.21it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.17it/s] all 15 182 0.0769 0.17 0.0513 0.011
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 3.66G 0.0618 14.61 2.412 166 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 3.66G 0.0618 14.61 2.412 166 640: 100%|██████████| 1/1 [00:00<00:00, 6.91it/s] 16/50 3.66G 0.0618 14.61 2.412 166 640: 100%|██████████| 1/1 [00:00<00:00, 6.89it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.19it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.14it/s] all 15 182 0.099 0.275 0.0677 0.0145
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 3.65G 0.06372 14.71 2.41 158 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 3.65G 0.06372 14.71 2.41 158 640: 100%|██████████| 1/1 [00:00<00:00, 6.80it/s] 17/50 3.65G 0.06372 14.71 2.41 158 640: 100%|██████████| 1/1 [00:00<00:00, 6.78it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.86it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.80it/s] all 15 182 0.187 0.352 0.144 0.0337
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 3.65G 0.06182 13.34 2.42 238 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 3.65G 0.06182 13.34 2.42 238 640: 100%|██████████| 1/1 [00:00<00:00, 8.26it/s] 18/50 3.65G 0.06182 13.34 2.42 238 640: 100%|██████████| 1/1 [00:00<00:00, 8.23it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.09it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.04it/s] all 15 182 0.187 0.352 0.144 0.0337
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 3.67G 0.05973 13.12 2.328 222 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 3.67G 0.05973 13.12 2.328 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.94it/s] 19/50 3.67G 0.05973 13.12 2.328 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.93it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.12it/s] all 15 182 0.299 0.462 0.262 0.0682
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 3.64G 0.06141 13.52 2.495 171 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 3.64G 0.06141 13.52 2.495 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.40it/s] 20/50 3.64G 0.06141 13.52 2.495 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.38it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.21it/s] all 15 182 0.299 0.462 0.262 0.0682
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 3.61G 0.05919 16.12 2.477 132 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 3.61G 0.05919 16.12 2.477 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.45it/s] 21/50 3.61G 0.05919 16.12 2.477 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.44it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.24it/s] all 15 182 0.335 0.467 0.291 0.0824
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 3.59G 0.06096 14.54 2.464 132 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 3.59G 0.06096 14.54 2.464 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.54it/s] 22/50 3.59G 0.06096 14.54 2.464 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.89it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.85it/s] all 15 182 0.335 0.467 0.291 0.0824
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 3.68G 0.059 12.19 2.441 184 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 3.68G 0.059 12.19 2.441 184 640: 100%|██████████| 1/1 [00:00<00:00, 7.53it/s] 23/50 3.68G 0.059 12.19 2.441 184 640: 100%|██████████| 1/1 [00:00<00:00, 7.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.61it/s] all 15 182 0.322 0.396 0.248 0.0725
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 3.66G 0.05957 12.22 2.355 220 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 3.66G 0.05957 12.22 2.355 220 640: 100%|██████████| 1/1 [00:00<00:00, 8.61it/s] 24/50 3.66G 0.05957 12.22 2.355 220 640: 100%|██████████| 1/1 [00:00<00:00, 8.59it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.51it/s] all 15 182 0.322 0.396 0.248 0.0725
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 3.61G 0.05972 13.08 2.355 124 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 3.61G 0.05972 13.08 2.355 124 640: 100%|██████████| 1/1 [00:00<00:00, 8.92it/s] 25/50 3.61G 0.05972 13.08 2.355 124 640: 100%|██████████| 1/1 [00:00<00:00, 8.91it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.83it/s] all 15 182 0.319 0.363 0.244 0.0747
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 3.59G 0.05804 12.76 2.22 138 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 3.59G 0.05804 12.76 2.22 138 640: 100%|██████████| 1/1 [00:00<00:00, 8.49it/s] 26/50 3.59G 0.05804 12.76 2.22 138 640: 100%|██████████| 1/1 [00:00<00:00, 8.47it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.28it/s] all 15 182 0.319 0.363 0.244 0.0747
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 3.67G 0.05791 12.92 2.257 214 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 3.67G 0.05791 12.92 2.257 214 640: 100%|██████████| 1/1 [00:00<00:00, 8.00it/s] 27/50 3.67G 0.05791 12.92 2.257 214 640: 100%|██████████| 1/1 [00:00<00:00, 7.99it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.37it/s] all 15 182 0.318 0.462 0.282 0.0896
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 3.59G 0.05896 12.13 2.283 155 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 3.59G 0.05896 12.13 2.283 155 640: 100%|██████████| 1/1 [00:00<00:00, 8.40it/s] 28/50 3.59G 0.05896 12.13 2.283 155 640: 100%|██████████| 1/1 [00:00<00:00, 8.38it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.50it/s] all 15 182 0.318 0.462 0.282 0.0896
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 3.6G 0.05926 12.8 2.298 139 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 3.6G 0.05926 12.8 2.298 139 640: 100%|██████████| 1/1 [00:00<00:00, 8.56it/s] 29/50 3.6G 0.05926 12.8 2.298 139 640: 100%|██████████| 1/1 [00:00<00:00, 8.54it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.59it/s] all 15 182 0.323 0.489 0.296 0.0908
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 3.66G 0.05934 11.83 2.298 212 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 3.66G 0.05934 11.83 2.298 212 640: 100%|██████████| 1/1 [00:00<00:00, 8.30it/s] 30/50 3.66G 0.05934 11.83 2.298 212 640: 100%|██████████| 1/1 [00:00<00:00, 8.29it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.01it/s] all 15 182 0.323 0.489 0.296 0.0908
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 3.66G 0.06143 12.72 2.323 203 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 3.66G 0.06143 12.72 2.323 203 640: 100%|██████████| 1/1 [00:00<00:00, 7.53it/s] 31/50 3.66G 0.06143 12.72 2.323 203 640: 100%|██████████| 1/1 [00:00<00:00, 7.51it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.46it/s] all 15 182 0.406 0.36 0.261 0.0939
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 3.66G 0.06091 10.64 2.43 206 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 3.66G 0.06091 10.64 2.43 206 640: 100%|██████████| 1/1 [00:00<00:00, 8.48it/s] 32/50 3.66G 0.06091 10.64 2.43 206 640: 100%|██████████| 1/1 [00:00<00:00, 8.47it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.95it/s] all 15 182 0.406 0.36 0.261 0.0939
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 3.66G 0.05884 11.82 2.423 146 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 3.66G 0.05884 11.82 2.423 146 640: 100%|██████████| 1/1 [00:00<00:00, 8.49it/s] 33/50 3.66G 0.05884 11.82 2.423 146 640: 100%|██████████| 1/1 [00:00<00:00, 8.48it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.36it/s] all 15 182 0.346 0.352 0.235 0.0858
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 3.64G 0.05712 11.62 2.371 147 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 3.64G 0.05712 11.62 2.371 147 640: 100%|██████████| 1/1 [00:00<00:00, 8.49it/s] 34/50 3.64G 0.05712 11.62 2.371 147 640: 100%|██████████| 1/1 [00:00<00:00, 8.48it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.64it/s] all 15 182 0.346 0.352 0.235 0.0858
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 3.67G 0.05931 10.53 2.435 171 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 3.67G 0.05931 10.53 2.435 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.31it/s] 35/50 3.67G 0.05931 10.53 2.435 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.29it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.72it/s] all 15 182 0.401 0.28 0.258 0.0862
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 3.67G 0.05691 10.23 2.317 185 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 3.67G 0.05691 10.23 2.317 185 640: 100%|██████████| 1/1 [00:00<00:00, 5.99it/s] 36/50 3.67G 0.05691 10.23 2.317 185 640: 100%|██████████| 1/1 [00:00<00:00, 5.98it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.13it/s] all 15 182 0.401 0.28 0.258 0.0862
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 3.61G 0.05677 10.35 2.371 120 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 3.61G 0.05677 10.35 2.371 120 640: 100%|██████████| 1/1 [00:00<00:00, 8.63it/s] 37/50 3.61G 0.05677 10.35 2.371 120 640: 100%|██████████| 1/1 [00:00<00:00, 8.61it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.03it/s] all 15 182 0.357 0.415 0.281 0.0941
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 3.65G 0.05424 10.33 2.292 137 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 3.65G 0.05424 10.33 2.292 137 640: 100%|██████████| 1/1 [00:00<00:00, 8.66it/s] 38/50 3.65G 0.05424 10.33 2.292 137 640: 100%|██████████| 1/1 [00:00<00:00, 8.65it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.57it/s] all 15 182 0.357 0.415 0.281 0.0941
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 3.66G 0.05505 9.715 2.298 162 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 3.66G 0.05505 9.715 2.298 162 640: 100%|██████████| 1/1 [00:00<00:00, 10.06it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.28it/s] all 15 182 0.326 0.341 0.268 0.0905
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 3.67G 0.05617 9.756 2.253 183 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 3.67G 0.05617 9.756 2.253 183 640: 100%|██████████| 1/1 [00:00<00:00, 7.91it/s] 40/50 3.67G 0.05617 9.756 2.253 183 640: 100%|██████████| 1/1 [00:00<00:00, 7.89it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.68it/s] all 15 182 0.326 0.341 0.268 0.0905
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 3.61G 0.05443 9.716 2.237 110 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 3.61G 0.05443 9.716 2.237 110 640: 100%|██████████| 1/1 [00:01<00:00, 1.47s/it] 41/50 3.61G 0.05443 9.716 2.237 110 640: 100%|██████████| 1/1 [00:01<00:00, 1.47s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.03it/s] all 15 182 0.429 0.352 0.309 0.115
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 3.59G 0.05222 9.155 2.204 121 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 3.59G 0.05222 9.155 2.204 121 640: 100%|██████████| 1/1 [00:00<00:00, 8.31it/s] 42/50 3.59G 0.05222 9.155 2.204 121 640: 100%|██████████| 1/1 [00:00<00:00, 8.29it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.61it/s] all 15 182 0.429 0.352 0.309 0.115
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 3.61G 0.05489 9.157 2.279 118 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 3.61G 0.05489 9.157 2.279 118 640: 100%|██████████| 1/1 [00:00<00:00, 7.54it/s] 43/50 3.61G 0.05489 9.157 2.279 118 640: 100%|██████████| 1/1 [00:00<00:00, 7.51it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.98it/s] all 15 182 0.205 0.341 0.2 0.0667
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 3.59G 0.05028 9.976 2.139 118 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 3.59G 0.05028 9.976 2.139 118 640: 100%|██████████| 1/1 [00:00<00:00, 8.29it/s] 44/50 3.59G 0.05028 9.976 2.139 118 640: 100%|██████████| 1/1 [00:00<00:00, 8.27it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.12it/s] all 15 182 0.205 0.341 0.2 0.0667
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 3.61G 0.05152 9.839 2.15 113 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 3.61G 0.05152 9.839 2.15 113 640: 100%|██████████| 1/1 [00:00<00:00, 7.90it/s] 45/50 3.61G 0.05152 9.839 2.15 113 640: 100%|██████████| 1/1 [00:00<00:00, 7.89it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.60it/s] all 15 182 0.528 0.247 0.31 0.102
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 3.59G 0.04736 8.985 2.029 113 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 3.59G 0.04736 8.985 2.029 113 640: 100%|██████████| 1/1 [00:00<00:00, 8.40it/s] 46/50 3.59G 0.04736 8.985 2.029 113 640: 100%|██████████| 1/1 [00:00<00:00, 8.37it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.55it/s] all 15 182 0.528 0.247 0.31 0.102
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 3.61G 0.04992 8.749 2.109 116 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 3.61G 0.04992 8.749 2.109 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.69it/s] 47/50 3.61G 0.04992 8.749 2.109 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.67it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.48it/s] all 15 182 0.423 0.33 0.318 0.101
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 3.59G 0.05093 8.88 2.159 119 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 3.59G 0.05093 8.88 2.159 119 640: 100%|██████████| 1/1 [00:00<00:00, 8.63it/s] 48/50 3.59G 0.05093 8.88 2.159 119 640: 100%|██████████| 1/1 [00:00<00:00, 8.61it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.02it/s] all 15 182 0.423 0.33 0.318 0.101
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 3.6G 0.04924 8.676 2.148 116 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 3.6G 0.04924 8.676 2.148 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.78it/s] 49/50 3.6G 0.04924 8.676 2.148 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.76it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.30it/s] all 15 182 0.359 0.484 0.323 0.0978
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 3.59G 0.04827 8.752 2.128 115 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 3.59G 0.04827 8.752 2.128 115 640: 100%|██████████| 1/1 [00:00<00:00, 8.90it/s] 50/50 3.59G 0.04827 8.752 2.128 115 640: 100%|██████████| 1/1 [00:00<00:00, 8.88it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.63it/s] all 15 182 0.359 0.484 0.323 0.0978
50 epochs completed in 0.011 hours.
Optimizer stripped from runs/detect/train17/weights/last.pt, 22.5MB
Optimizer stripped from runs/detect/train17/weights/best.pt, 22.5MB
Validating runs/detect/train17/weights/best.pt...
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 168 layers, 11125971 parameters, 0 gradients, 28.4 GFLOPs
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 14.61it/s] all 15 182 0.411 0.352 0.309 0.115
Speed: 0.1ms preprocess, 0.9ms inference, 0.0ms loss, 0.8ms postprocess per image
Results saved to [1mruns/detect/train17[0m
wandb: - 27.689 MB of 27.689 MB uploadedwandb: \ 27.689 MB of 27.689 MB uploadedwandb: | 27.734 MB of 27.734 MB uploadedwandb:
wandb:
wandb: Run history:
wandb: lr/pg0 ▁▁▁▂▂▂▂▂▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇▇████
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wandb: lr/pg2 ▁▁▁▂▂▂▂▂▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇▇████
wandb: metrics/mAP50(B) ▁▁▁▁▁▁▁▁▂▂▁▂▂▄▄▇▇▇▆▆▆▇▇█▇▇▆▆▇▇▇▇██▅▅████
wandb: metrics/mAP50-95(B) ▁▁▁▁▁▁▁▁▁▂▁▁▂▃▃▅▆▆▅▅▆▆▆▇▇▇▆▆▆▇▇▆██▅▅▇▇▇█
wandb: metrics/precision(B) ▁▁▁▁▁▁▁▁▂▂▁▂▂▃▃▅▅▅▅▅▅▅▅▅▆▆▆▆▆▆▆▅▇▇▄▄█▇▇▆
wandb: metrics/recall(B) ▁▁▁▁▁▁▁▂▂▄▂▃▄▆▆███▆▆▆███▆▆▆▆▄▇▇▅▆▆▅▅▄▅▅▅
wandb: model/GFLOPs ▁
wandb: model/parameters ▁
wandb: model/speed_PyTorch(ms) ▁
wandb: train/box_loss ▇█▇▇██▇▇▇▆▅▄▃▄▃▃▃▃▃▃▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▁▁▁▂▁
wandb: train/cls_loss ▇███▇▇█▇▆▅▄▅▄▄▃▃▅▄▃▃▃▃▃▃▃▂▂▂▂▂▂▁▁▁▁▂▁▁▁▁
wandb: train/dfl_loss ▇█▇▇▇██▇▆▅▄▅▄▄▄▃▄▄▄▃▂▃▃▃▃▄▄▃▃▃▃▃▂▂▃▂▁▂▂▂
wandb: val/box_loss ███████▆▃▂▂▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁
wandb: val/cls_loss ▁▁▁▁▁▁▁▁▂▆▃█▅▃▃▄▃▃▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: val/dfl_loss ▅▅▅▅▅▅▅▃▃▄▄▅▆▇▇█████▆▅▅▄▄▄▃▃▂▂▂▂▂▂▂▂▁▁▁▁
wandb:
wandb: Run summary:
wandb: lr/pg0 0.00076
wandb: lr/pg1 0.00076
wandb: lr/pg2 0.00076
wandb: metrics/mAP50(B) 0.30924
wandb: metrics/mAP50-95(B) 0.11507
wandb: metrics/precision(B) 0.41054
wandb: metrics/recall(B) 0.35165
wandb: model/GFLOPs 28.647
wandb: model/parameters 11135987
wandb: model/speed_PyTorch(ms) 8.594
wandb: train/box_loss 0.04827
wandb: train/cls_loss 8.75164
wandb: train/dfl_loss 2.12801
wandb: val/box_loss 0.06214
wandb: val/cls_loss 14.17746
wandb: val/dfl_loss 2.40809
wandb:
wandb: 🚀 View run train17 at: https://wandb.ai/fin-jason20/YOLOv8/runs/m3x5goyw
wandb: ️⚡ View job at https://wandb.ai/fin-jason20/YOLOv8/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjE1NTE4Mjc3OQ==/version_details/v7
wandb: Synced 6 W&B file(s), 20 media file(s), 5 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240402_011108-m3x5goyw/logs
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 168 layers, 11125971 parameters, 0 gradients, 28.4 GFLOPs
[34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.39it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.39it/s] all 15 182 0.417 0.352 0.31 0.114
Speed: 0.5ms preprocess, 5.9ms inference, 0.0ms loss, 0.8ms postprocess per image
Results saved to [1mruns/detect/train172[0m
ultralytics.utils.metrics.DetMetrics object with attributes:
ap_class_index: array([0])
box: ultralytics.utils.metrics.Metric object
confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x2b345046cf70>
curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']
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fitness: 0.13388963605172338
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.11437])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.4172931783114038, 'metrics/recall(B)': 0.3516483516483517, 'metrics/mAP50(B)': 0.30958705547343385, 'metrics/mAP50-95(B)': 0.1143677005604222, 'fitness': 0.13388963605172338}
save_dir: PosixPath('runs/detect/train172')
speed: {'preprocess': 0.5094210306803385, 'inference': 5.935208002726236, 'loss': 0.0005563100179036459, 'postprocess': 0.7648309071858724}
task: 'detect'