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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=/scratch/gilbreth/jpfinley/ultralytics/runs/detect/train22/weights/best.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=train27, 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/train27
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 355/355 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_014530-s2x6esvm
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train27
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/s2x6esvm
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/train27/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/train27[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 0.05298 10.55 2.343 200 640: 0%| | 0/1 [00:03<?, ?it/s] 1/50 3.57G 0.05298 10.55 2.343 200 640: 100%|██████████| 1/1 [00:03<00:00, 3.03s/it] 1/50 3.57G 0.05298 10.55 2.343 200 640: 100%|██████████| 1/1 [00:03<00:00, 3.03s/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, 6.14it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 6.12it/s] all 15 182 0.0364 0.302 0.0517 0.0162
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 3.6G 0.05039 9.248 2.325 137 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 3.6G 0.05039 9.248 2.325 137 640: 100%|██████████| 1/1 [00:00<00:00, 7.24it/s] 2/50 3.6G 0.05039 9.248 2.325 137 640: 100%|██████████| 1/1 [00:00<00:00, 7.23it/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, 18.19it/s] all 15 182 0.175 0.126 0.0674 0.0226
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 3.56G 0.05046 9.534 2.337 150 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 3.56G 0.05046 9.534 2.337 150 640: 100%|██████████| 1/1 [00:00<00:00, 5.00it/s] 3/50 3.56G 0.05046 9.534 2.337 150 640: 100%|██████████| 1/1 [00:00<00:00, 4.99it/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, 15.44it/s] all 15 182 0.242 0.126 0.0914 0.0312
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 3.56G 0.04968 9.307 2.272 147 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 3.56G 0.04968 9.307 2.272 147 640: 100%|██████████| 1/1 [00:00<00:00, 7.42it/s] 4/50 3.56G 0.04968 9.307 2.272 147 640: 100%|██████████| 1/1 [00:00<00:00, 7.41it/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, 20.05it/s] all 15 182 0.33 0.143 0.124 0.0447
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 3.55G 0.05119 10.34 2.25 222 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 3.55G 0.05119 10.34 2.25 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.20it/s] 5/50 3.55G 0.05119 10.34 2.25 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.19it/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, 20.60it/s] all 15 182 0.367 0.165 0.151 0.054
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 3.59G 0.049 8.773 2.231 188 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 3.59G 0.049 8.773 2.231 188 640: 100%|██████████| 1/1 [00:00<00:00, 5.44it/s] 6/50 3.59G 0.049 8.773 2.231 188 640: 100%|██████████| 1/1 [00:00<00:00, 5.43it/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, 21.15it/s] all 15 182 0.42 0.352 0.318 0.113
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 3.65G 0.0464 8.093 2.202 174 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 3.65G 0.0464 8.093 2.202 174 640: 100%|██████████| 1/1 [00:00<00:00, 7.50it/s] 7/50 3.65G 0.0464 8.093 2.202 174 640: 100%|██████████| 1/1 [00:00<00:00, 7.49it/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, 21.85it/s] all 15 182 0.516 0.44 0.431 0.16
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 3.65G 0.05074 8.927 2.292 166 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 3.65G 0.05074 8.927 2.292 166 640: 100%|██████████| 1/1 [00:00<00:00, 7.47it/s] 8/50 3.65G 0.05074 8.927 2.292 166 640: 100%|██████████| 1/1 [00:00<00:00, 7.46it/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, 20.16it/s] all 15 182 0.538 0.473 0.46 0.172
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 3.65G 0.04559 7.603 2.15 186 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 3.65G 0.04559 7.603 2.15 186 640: 100%|██████████| 1/1 [00:00<00:00, 5.82it/s] 9/50 3.65G 0.04559 7.603 2.15 186 640: 100%|██████████| 1/1 [00:00<00:00, 5.81it/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, 19.27it/s] all 15 182 0.575 0.558 0.505 0.183
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 3.59G 0.04877 8.786 2.253 127 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 3.59G 0.04877 8.786 2.253 127 640: 100%|██████████| 1/1 [00:00<00:00, 7.85it/s] 10/50 3.59G 0.04877 8.786 2.253 127 640: 100%|██████████| 1/1 [00:00<00:00, 7.84it/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, 20.58it/s] all 15 182 0.586 0.576 0.521 0.191
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 3.66G 0.04831 7.888 2.265 176 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 3.66G 0.04831 7.888 2.265 176 640: 100%|██████████| 1/1 [00:00<00:00, 7.66it/s] 11/50 3.66G 0.04831 7.888 2.265 176 640: 100%|██████████| 1/1 [00:00<00:00, 7.65it/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, 20.88it/s] all 15 182 0.577 0.63 0.532 0.195
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 3.65G 0.04812 8.548 2.231 153 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 3.65G 0.04812 8.548 2.231 153 640: 100%|██████████| 1/1 [00:00<00:00, 7.51it/s] 12/50 3.65G 0.04812 8.548 2.231 153 640: 100%|██████████| 1/1 [00:00<00:00, 7.50it/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, 21.63it/s] all 15 182 0.561 0.637 0.514 0.188
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 3.65G 0.04869 8.557 2.211 171 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 3.65G 0.04869 8.557 2.211 171 640: 100%|██████████| 1/1 [00:00<00:00, 7.30it/s] 13/50 3.65G 0.04869 8.557 2.211 171 640: 100%|██████████| 1/1 [00:00<00:00, 7.29it/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, 19.57it/s] all 15 182 0.553 0.638 0.509 0.181
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 3.66G 0.04775 8.398 2.193 183 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 3.66G 0.04775 8.398 2.193 183 640: 100%|██████████| 1/1 [00:00<00:00, 7.66it/s] 14/50 3.66G 0.04775 8.398 2.193 183 640: 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, 20.91it/s] all 15 182 0.524 0.615 0.474 0.167
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 3.67G 0.04529 8.053 2.084 174 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 3.67G 0.04529 8.053 2.084 174 640: 100%|██████████| 1/1 [00:00<00:00, 6.95it/s] 15/50 3.67G 0.04529 8.053 2.084 174 640: 100%|██████████| 1/1 [00:00<00:00, 6.94it/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, 20.01it/s] all 15 182 0.519 0.621 0.464 0.163
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 3.66G 0.0453 7.695 2.127 166 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 3.66G 0.0453 7.695 2.127 166 640: 100%|██████████| 1/1 [00:00<00:00, 7.41it/s] 16/50 3.66G 0.0453 7.695 2.127 166 640: 100%|██████████| 1/1 [00:00<00:00, 7.40it/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 0.526 0.599 0.463 0.168
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 3.65G 0.04813 8.235 2.151 158 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 3.65G 0.04813 8.235 2.151 158 640: 100%|██████████| 1/1 [00:00<00:00, 7.08it/s] 17/50 3.65G 0.04813 8.235 2.151 158 640: 100%|██████████| 1/1 [00:00<00:00, 7.07it/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, 20.68it/s] all 15 182 0.525 0.615 0.484 0.194
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 3.65G 0.04772 7.858 2.187 238 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 3.65G 0.04772 7.858 2.187 238 640: 100%|██████████| 1/1 [00:00<00:00, 8.56it/s] 18/50 3.65G 0.04772 7.858 2.187 238 640: 100%|██████████| 1/1 [00:00<00:00, 8.55it/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, 19.84it/s] all 15 182 0.525 0.615 0.484 0.194
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 3.67G 0.04633 7.57 2.163 222 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 3.67G 0.04633 7.57 2.163 222 640: 100%|██████████| 1/1 [00:00<00:00, 7.90it/s] 19/50 3.67G 0.04633 7.57 2.163 222 640: 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, 19.53it/s] all 15 182 0.528 0.599 0.496 0.215
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 3.64G 0.04678 7.622 2.189 171 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 3.64G 0.04678 7.622 2.189 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.29it/s] 20/50 3.64G 0.04678 7.622 2.189 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.28it/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, 19.61it/s] all 15 182 0.528 0.599 0.496 0.215
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 3.6G 0.04517 8.355 2.135 132 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 3.6G 0.04517 8.355 2.135 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.88it/s] 21/50 3.6G 0.04517 8.355 2.135 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.87it/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, 21.36it/s] all 15 182 0.53 0.615 0.512 0.221
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 3.59G 0.0458 7.562 2.147 132 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 3.59G 0.0458 7.562 2.147 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.40it/s] 22/50 3.59G 0.0458 7.562 2.147 132 640: 100%|██████████| 1/1 [00:00<00:00, 8.39it/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, 19.69it/s] all 15 182 0.53 0.615 0.512 0.221
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 3.68G 0.04696 7.766 2.202 184 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 3.68G 0.04696 7.766 2.202 184 640: 100%|██████████| 1/1 [00:00<00:00, 8.40it/s] 23/50 3.68G 0.04696 7.766 2.202 184 640: 100%|██████████| 1/1 [00:00<00:00, 8.39it/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, 19.79it/s] all 15 182 0.508 0.621 0.498 0.221
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 3.66G 0.04753 8.022 2.206 220 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 3.66G 0.04753 8.022 2.206 220 640: 100%|██████████| 1/1 [00:00<00:00, 8.71it/s] 24/50 3.66G 0.04753 8.022 2.206 220 640: 100%|██████████| 1/1 [00:00<00:00, 8.70it/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, 20.45it/s] all 15 182 0.508 0.621 0.498 0.221
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 3.61G 0.04672 8.543 2.199 124 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 3.61G 0.04672 8.543 2.199 124 640: 100%|██████████| 1/1 [00:00<00:00, 8.16it/s] 25/50 3.61G 0.04672 8.543 2.199 124 640: 100%|██████████| 1/1 [00:00<00:00, 8.15it/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, 21.51it/s] all 15 182 0.535 0.626 0.523 0.227
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 3.59G 0.04373 7.724 2.085 138 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 3.59G 0.04373 7.724 2.085 138 640: 100%|██████████| 1/1 [00:00<00:00, 8.23it/s] 26/50 3.59G 0.04373 7.724 2.085 138 640: 100%|██████████| 1/1 [00:00<00:00, 8.22it/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, 20.98it/s] all 15 182 0.535 0.626 0.523 0.227
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 3.67G 0.0492 8.023 2.252 214 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 3.67G 0.0492 8.023 2.252 214 640: 100%|██████████| 1/1 [00:00<00:00, 8.79it/s] 27/50 3.67G 0.0492 8.023 2.252 214 640: 100%|██████████| 1/1 [00:00<00:00, 8.77it/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, 22.01it/s] all 15 182 0.572 0.577 0.481 0.201
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 3.59G 0.04598 7.646 2.175 155 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 3.59G 0.04598 7.646 2.175 155 640: 100%|██████████| 1/1 [00:00<00:00, 7.87it/s] 28/50 3.59G 0.04598 7.646 2.175 155 640: 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, 21.81it/s] all 15 182 0.572 0.577 0.481 0.201
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 3.61G 0.04568 7.583 2.119 139 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 3.61G 0.04568 7.583 2.119 139 640: 100%|██████████| 1/1 [00:00<00:00, 8.14it/s] 29/50 3.61G 0.04568 7.583 2.119 139 640: 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, 20.10it/s] all 15 182 0.508 0.549 0.42 0.168
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 3.66G 0.04872 7.991 2.243 212 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 3.66G 0.04872 7.991 2.243 212 640: 100%|██████████| 1/1 [00:00<00:00, 8.55it/s] 30/50 3.66G 0.04872 7.991 2.243 212 640: 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, 21.88it/s] all 15 182 0.508 0.549 0.42 0.168
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 3.66G 0.04884 8.225 2.218 203 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 3.66G 0.04884 8.225 2.218 203 640: 100%|██████████| 1/1 [00:00<00:00, 8.50it/s] 31/50 3.66G 0.04884 8.225 2.218 203 640: 100%|██████████| 1/1 [00:00<00:00, 8.49it/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, 21.72it/s] all 15 182 0.51 0.582 0.436 0.166
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 3.66G 0.04869 7.934 2.247 206 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 3.66G 0.04869 7.934 2.247 206 640: 100%|██████████| 1/1 [00:00<00:00, 6.45it/s] 32/50 3.66G 0.04869 7.934 2.247 206 640: 100%|██████████| 1/1 [00:00<00:00, 6.44it/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, 21.08it/s] all 15 182 0.51 0.582 0.436 0.166
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 3.66G 0.04642 8.227 2.169 146 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 3.66G 0.04642 8.227 2.169 146 640: 100%|██████████| 1/1 [00:00<00:00, 8.11it/s] 33/50 3.66G 0.04642 8.227 2.169 146 640: 100%|██████████| 1/1 [00:00<00:00, 8.10it/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, 20.07it/s] all 15 182 0.536 0.566 0.436 0.169
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 3.64G 0.04934 8.533 2.242 147 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 3.64G 0.04934 8.533 2.242 147 640: 100%|██████████| 1/1 [00:00<00:00, 8.08it/s] 34/50 3.64G 0.04934 8.533 2.242 147 640: 100%|██████████| 1/1 [00:00<00:00, 8.07it/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, 21.38it/s] all 15 182 0.536 0.566 0.436 0.169
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 3.67G 0.04622 7.718 2.134 171 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 3.67G 0.04622 7.718 2.134 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.58it/s] 35/50 3.67G 0.04622 7.718 2.134 171 640: 100%|██████████| 1/1 [00:00<00:00, 8.57it/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, 19.89it/s] all 15 182 0.518 0.608 0.46 0.178
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 3.67G 0.04709 7.885 2.18 185 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 3.67G 0.04709 7.885 2.18 185 640: 100%|██████████| 1/1 [00:00<00:00, 7.88it/s] 36/50 3.67G 0.04709 7.885 2.18 185 640: 100%|██████████| 1/1 [00:00<00:00, 7.87it/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, 19.88it/s] all 15 182 0.518 0.608 0.46 0.178
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 3.61G 0.04729 7.783 2.179 120 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 3.61G 0.04729 7.783 2.179 120 640: 100%|██████████| 1/1 [00:00<00:00, 8.39it/s] 37/50 3.61G 0.04729 7.783 2.179 120 640: 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, 19.82it/s] all 15 182 0.54 0.621 0.483 0.195
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 3.65G 0.04526 7.962 2.149 137 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 3.65G 0.04526 7.962 2.149 137 640: 100%|██████████| 1/1 [00:00<00:00, 8.57it/s] 38/50 3.65G 0.04526 7.962 2.149 137 640: 100%|██████████| 1/1 [00:00<00:00, 8.53it/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, 19.98it/s] all 15 182 0.54 0.621 0.483 0.195
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 3.66G 0.04603 7.878 2.176 162 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 3.66G 0.04603 7.878 2.176 162 640: 100%|██████████| 1/1 [00:00<00:00, 8.47it/s] 39/50 3.66G 0.04603 7.878 2.176 162 640: 100%|██████████| 1/1 [00:00<00:00, 8.46it/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, 20.12it/s] all 15 182 0.579 0.621 0.528 0.214
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 3.67G 0.04615 7.733 2.113 183 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 3.67G 0.04615 7.733 2.113 183 640: 100%|██████████| 1/1 [00:00<00:00, 8.77it/s] 40/50 3.67G 0.04615 7.733 2.113 183 640: 100%|██████████| 1/1 [00:00<00:00, 8.75it/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, 20.37it/s] all 15 182 0.579 0.621 0.528 0.214
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 3.6G 0.04377 7.27 2.062 110 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 3.6G 0.04377 7.27 2.062 110 640: 100%|██████████| 1/1 [00:01<00:00, 1.89s/it] 41/50 3.6G 0.04377 7.27 2.062 110 640: 100%|██████████| 1/1 [00:01<00:00, 1.89s/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, 14.50it/s] all 15 182 0.587 0.594 0.543 0.224
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 3.59G 0.04257 6.946 2.001 121 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 3.59G 0.04257 6.946 2.001 121 640: 100%|██████████| 1/1 [00:00<00:00, 8.41it/s] 42/50 3.59G 0.04257 6.946 2.001 121 640: 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, 14.13it/s] all 15 182 0.587 0.594 0.543 0.224
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 3.61G 0.04464 7.329 2.072 118 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 3.61G 0.04464 7.329 2.072 118 640: 100%|██████████| 1/1 [00:00<00:00, 8.72it/s] 43/50 3.61G 0.04464 7.329 2.072 118 640: 100%|██████████| 1/1 [00:00<00:00, 8.70it/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, 13.97it/s] all 15 182 0.597 0.593 0.56 0.222
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 3.59G 0.04069 6.836 1.993 118 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 3.59G 0.04069 6.836 1.993 118 640: 100%|██████████| 1/1 [00:00<00:00, 8.52it/s] 44/50 3.59G 0.04069 6.836 1.993 118 640: 100%|██████████| 1/1 [00:00<00:00, 8.50it/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, 20.18it/s] all 15 182 0.597 0.593 0.56 0.222
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 3.61G 0.04038 6.683 1.979 113 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 3.61G 0.04038 6.683 1.979 113 640: 100%|██████████| 1/1 [00:00<00:00, 8.83it/s] 45/50 3.61G 0.04038 6.683 1.979 113 640: 100%|██████████| 1/1 [00:00<00:00, 8.81it/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, 21.21it/s] all 15 182 0.559 0.632 0.575 0.228
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 3.59G 0.04347 6.635 2.017 113 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 3.59G 0.04347 6.635 2.017 113 640: 100%|██████████| 1/1 [00:00<00:00, 10.61it/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, 19.88it/s] all 15 182 0.559 0.632 0.575 0.228
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 3.61G 0.04304 6.413 2.055 116 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 3.61G 0.04304 6.413 2.055 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.53it/s] 47/50 3.61G 0.04304 6.413 2.055 116 640: 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, 21.25it/s] all 15 182 0.532 0.621 0.52 0.191
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 3.59G 0.04665 6.628 2.102 119 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 3.59G 0.04665 6.628 2.102 119 640: 100%|██████████| 1/1 [00:00<00:00, 8.68it/s] 48/50 3.59G 0.04665 6.628 2.102 119 640: 100%|██████████| 1/1 [00:00<00:00, 8.66it/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, 21.15it/s] all 15 182 0.532 0.621 0.52 0.191
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 3.6G 0.04331 6.426 2.024 116 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 3.6G 0.04331 6.426 2.024 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.17it/s] 49/50 3.6G 0.04331 6.426 2.024 116 640: 100%|██████████| 1/1 [00:00<00:00, 8.16it/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, 20.36it/s] all 15 182 0.508 0.593 0.49 0.174
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 3.59G 0.04211 6.219 1.979 115 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 3.59G 0.04211 6.219 1.979 115 640: 100%|██████████| 1/1 [00:00<00:00, 8.96it/s] 50/50 3.59G 0.04211 6.219 1.979 115 640: 100%|██████████| 1/1 [00:00<00:00, 8.95it/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, 21.92it/s] all 15 182 0.508 0.593 0.49 0.174
50 epochs completed in 0.010 hours.
Optimizer stripped from runs/detect/train27/weights/last.pt, 22.5MB
Optimizer stripped from runs/detect/train27/weights/best.pt, 22.5MB
Validating runs/detect/train27/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, 16.30it/s] all 15 182 0.558 0.632 0.575 0.229
Speed: 0.1ms preprocess, 0.8ms inference, 0.0ms loss, 0.5ms postprocess per image
Results saved to [1mruns/detect/train27[0m
wandb: - 27.651 MB of 27.651 MB uploadedwandb: \ 27.651 MB of 27.651 MB uploadedwandb: | 27.696 MB of 27.696 MB uploadedwandb:
wandb:
wandb: Run history:
wandb: lr/pg0 ▁▁▁▂▂▂▂▂▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇▇████
wandb: lr/pg1 ▁▁▁▂▂▂▂▂▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇▇████
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) 0.57492
wandb: metrics/mAP50-95(B) 0.22892
wandb: metrics/precision(B) 0.55794
wandb: metrics/recall(B) 0.63187
wandb: model/GFLOPs 28.647
wandb: model/parameters 11135987
wandb: model/speed_PyTorch(ms) 8.538
wandb: train/box_loss 0.04211
wandb: train/cls_loss 6.2194
wandb: train/dfl_loss 1.97898
wandb: val/box_loss 0.06307
wandb: val/cls_loss 8.62936
wandb: val/dfl_loss 2.79625
wandb:
wandb: 🚀 View run train27 at: https://wandb.ai/fin-jason20/YOLOv8/runs/s2x6esvm
wandb: ️⚡ View job at https://wandb.ai/fin-jason20/YOLOv8/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjE1NTE4Mjc3OQ==/version_details/v13
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_014530-s2x6esvm/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, 1.51it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.51it/s] all 15 182 0.559 0.632 0.576 0.228
Speed: 0.1ms preprocess, 7.5ms inference, 0.0ms loss, 0.6ms postprocess per image
Results saved to [1mruns/detect/train272[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 0x2aec53c155e0>
curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']
curves_results: [[array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,
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fitness: 0.2625169896601446
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.22766])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.5586599410251718, 'metrics/recall(B)': 0.6318681318681318, 'metrics/mAP50(B)': 0.5761963075447554, 'metrics/mAP50-95(B)': 0.22766373211741003, 'fitness': 0.2625169896601446}
save_dir: PosixPath('runs/detect/train272')
speed: {'preprocess': 0.09938875834147136, 'inference': 7.487185796101888, 'loss': 0.0005245208740234375, 'postprocess': 0.593121846516927}
task: 'detect'