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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/train21/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=train26, 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=0.018953935738983678, lrf=0.4096725304452809, momentum=0.6176397242321043, weight_decay=0.0005182340726400939, warmup_epochs=2.9420822665958744, warmup_momentum=0.3232610925012841, warmup_bias_lr=0.1, box=0.0622585591760355, cls=0.2716838602042877, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.08354414073797155, hsv_s=0.6179490216626592, hsv_v=0.10248863557199779, degrees=6.719607470704272, translate=0.4361043512236223, scale=0.1484627423134257, shear=9.034542586929785, perspective=0.0002091200850452316, flipud=0.37737999612193485, fliplr=0.9700621320176886, mosaic=0.573269512773059, mixup=0.4792659269817423, copy_paste=0.9517025165510148, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train26
from n params module arguments
0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2]
1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2]
2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True]
3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2]
4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True]
5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True]
7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True]
9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 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 148224 ultralytics.nn.modules.block.C2f [384, 128, 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 37248 ultralytics.nn.modules.block.C2f [192, 64, 1]
16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1]
19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1]
22 [15, 18, 21] 1 751507 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]]
Model summary: 225 layers, 3011043 parameters, 3011027 gradients, 8.2 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_014249-448ibl92
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train26
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/448ibl92
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/train26/labels.jpg...
[34m[1moptimizer:[0m 'optimizer=auto' found, ignoring 'lr0=0.018953935738983678' and 'momentum=0.6176397242321043' 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=0.0005182340726400939), 63 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to [1mruns/detect/train26[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 2.25G 0.01436 0.8918 1.632 157 640: 0%| | 0/1 [00:04<?, ?it/s] 1/50 2.25G 0.01436 0.8918 1.632 157 640: 100%|██████████| 1/1 [00:04<00:00, 4.58s/it] 1/50 2.25G 0.01436 0.8918 1.632 157 640: 100%|██████████| 1/1 [00:04<00:00, 4.58s/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, 5.51it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 5.49it/s] all 15 182 0.142 0.0824 0.0453 0.0106
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 2.27G 0.01448 0.8237 1.66 184 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 2.27G 0.01448 0.8237 1.66 184 640: 100%|██████████| 1/1 [00:00<00:00, 6.61it/s] 2/50 2.27G 0.01448 0.8237 1.66 184 640: 100%|██████████| 1/1 [00:00<00:00, 6.60it/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, 10.46it/s] all 15 182 0.192 0.0879 0.0641 0.016
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 2.29G 0.01535 0.8886 1.719 200 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 2.29G 0.01535 0.8886 1.719 200 640: 100%|██████████| 1/1 [00:00<00:00, 11.06it/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, 12.15it/s] all 15 182 0.184 0.0879 0.0757 0.0214
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 2.29G 0.01542 0.883 1.748 155 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 2.29G 0.01542 0.883 1.748 155 640: 100%|██████████| 1/1 [00:00<00:00, 11.42it/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, 18.45it/s] all 15 182 0.188 0.0934 0.098 0.0303
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 2.28G 0.0143 0.8508 1.631 156 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 2.28G 0.0143 0.8508 1.631 156 640: 100%|██████████| 1/1 [00:00<00:00, 11.11it/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, 18.90it/s] all 15 182 0.223 0.148 0.147 0.0503
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 2.29G 0.0156 0.9213 1.757 231 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 2.29G 0.0156 0.9213 1.757 231 640: 100%|██████████| 1/1 [00:00<00:00, 9.06it/s] 6/50 2.29G 0.0156 0.9213 1.757 231 640: 100%|██████████| 1/1 [00:00<00:00, 9.04it/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 0.338 0.275 0.245 0.0923
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 2.23G 0.01533 0.8661 1.717 134 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 2.23G 0.01533 0.8661 1.717 134 640: 100%|██████████| 1/1 [00:00<00:00, 11.17it/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, 19.47it/s] all 15 182 0.418 0.396 0.397 0.16
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 2.29G 0.01453 0.7747 1.674 170 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 2.29G 0.01453 0.7747 1.674 170 640: 100%|██████████| 1/1 [00:00<00:00, 11.20it/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 0.485 0.566 0.517 0.216
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 2.3G 0.01398 0.7438 1.623 170 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 2.3G 0.01398 0.7438 1.623 170 640: 100%|██████████| 1/1 [00:00<00:00, 11.23it/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, 20.44it/s] all 15 182 0.608 0.582 0.601 0.256
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 2.29G 0.01585 0.8469 1.76 230 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 2.29G 0.01585 0.8469 1.76 230 640: 100%|██████████| 1/1 [00:00<00:00, 11.03it/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, 20.70it/s] all 15 182 0.672 0.626 0.657 0.272
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 2.3G 0.0151 0.817 1.702 166 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 2.3G 0.0151 0.817 1.702 166 640: 100%|██████████| 1/1 [00:00<00:00, 3.66it/s] 11/50 2.3G 0.0151 0.817 1.702 166 640: 100%|██████████| 1/1 [00:00<00:00, 3.65it/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, 20.95it/s] all 15 182 0.644 0.646 0.664 0.267
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 2.29G 0.0147 0.811 1.676 164 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 2.29G 0.0147 0.811 1.676 164 640: 100%|██████████| 1/1 [00:00<00:00, 11.11it/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, 20.69it/s] all 15 182 0.615 0.703 0.68 0.265
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 2.29G 0.01549 0.8242 1.724 225 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 2.29G 0.01549 0.8242 1.724 225 640: 100%|██████████| 1/1 [00:00<00:00, 11.36it/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, 22.31it/s] all 15 182 0.638 0.681 0.672 0.258
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 2.3G 0.0142 0.8216 1.66 196 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 2.3G 0.0142 0.8216 1.66 196 640: 100%|██████████| 1/1 [00:00<00:00, 11.37it/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, 22.24it/s] all 15 182 0.649 0.681 0.68 0.26
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 2.29G 0.01439 0.8192 1.679 171 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 2.29G 0.01439 0.8192 1.679 171 640: 100%|██████████| 1/1 [00:00<00:00, 11.20it/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, 22.40it/s] all 15 182 0.643 0.681 0.685 0.266
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 2.29G 0.01458 0.8188 1.663 147 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 2.29G 0.01458 0.8188 1.663 147 640: 100%|██████████| 1/1 [00:00<00:00, 11.40it/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, 22.59it/s] all 15 182 0.63 0.703 0.687 0.281
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 2.3G 0.01452 0.7572 1.654 210 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 2.3G 0.01452 0.7572 1.654 210 640: 100%|██████████| 1/1 [00:00<00:00, 11.32it/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, 22.82it/s] all 15 182 0.639 0.714 0.694 0.282
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 2.29G 0.01409 0.7269 1.631 171 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 2.29G 0.01409 0.7269 1.631 171 640: 100%|██████████| 1/1 [00:00<00:00, 10.77it/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, 22.88it/s] all 15 182 0.639 0.714 0.694 0.282
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 2.32G 0.01475 0.7563 1.652 213 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 2.32G 0.01475 0.7563 1.652 213 640: 100%|██████████| 1/1 [00:00<00:00, 10.98it/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, 23.04it/s] all 15 182 0.636 0.731 0.7 0.29
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 2.29G 0.0134 0.6805 1.567 182 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 2.29G 0.0134 0.6805 1.567 182 640: 100%|██████████| 1/1 [00:00<00:00, 13.44it/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, 23.18it/s] all 15 182 0.636 0.731 0.7 0.29
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 2.29G 0.014 0.7542 1.6 158 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 2.29G 0.014 0.7542 1.6 158 640: 100%|██████████| 1/1 [00:00<00:00, 11.43it/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, 22.81it/s] all 15 182 0.623 0.742 0.685 0.283
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 2.3G 0.01445 0.7158 1.643 234 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 2.3G 0.01445 0.7158 1.643 234 640: 100%|██████████| 1/1 [00:00<00:00, 13.11it/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, 22.55it/s] all 15 182 0.623 0.742 0.685 0.283
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 2.3G 0.0143 0.77 1.661 197 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 2.3G 0.0143 0.77 1.661 197 640: 100%|██████████| 1/1 [00:00<00:00, 11.22it/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, 23.00it/s] all 15 182 0.611 0.698 0.666 0.272
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 2.29G 0.01416 0.7153 1.604 195 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 2.29G 0.01416 0.7153 1.604 195 640: 100%|██████████| 1/1 [00:00<00:00, 12.32it/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, 22.87it/s] all 15 182 0.611 0.698 0.666 0.272
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 2.38G 0.01459 0.7406 1.662 255 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 2.38G 0.01459 0.7406 1.662 255 640: 100%|██████████| 1/1 [00:00<00:00, 11.11it/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, 22.94it/s] all 15 182 0.659 0.654 0.646 0.258
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 2.28G 0.01386 0.7493 1.565 158 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 2.28G 0.01386 0.7493 1.565 158 640: 100%|██████████| 1/1 [00:00<00:00, 12.61it/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, 23.39it/s] all 15 182 0.659 0.654 0.646 0.258
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 2.3G 0.01393 0.722 1.603 288 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 2.3G 0.01393 0.722 1.603 288 640: 100%|██████████| 1/1 [00:00<00:00, 12.04it/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, 23.25it/s] all 15 182 0.66 0.66 0.641 0.258
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 2.23G 0.01385 0.7727 1.591 131 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 2.23G 0.01385 0.7727 1.591 131 640: 100%|██████████| 1/1 [00:00<00:00, 8.90it/s] 28/50 2.23G 0.01385 0.7727 1.591 131 640: 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, 22.71it/s] all 15 182 0.66 0.66 0.641 0.258
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 2.3G 0.01429 0.6834 1.624 228 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 2.3G 0.01429 0.6834 1.624 228 640: 100%|██████████| 1/1 [00:00<00:00, 11.24it/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, 23.15it/s] all 15 182 0.64 0.643 0.622 0.233
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 2.29G 0.01362 0.7175 1.589 217 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 2.29G 0.01362 0.7175 1.589 217 640: 100%|██████████| 1/1 [00:00<00:00, 13.24it/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, 23.07it/s] all 15 182 0.64 0.643 0.622 0.233
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 2.29G 0.01347 0.7032 1.566 243 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 2.29G 0.01347 0.7032 1.566 243 640: 100%|██████████| 1/1 [00:00<00:00, 11.03it/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, 22.80it/s] all 15 182 0.595 0.676 0.61 0.213
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 2.29G 0.01436 0.7256 1.639 182 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 2.29G 0.01436 0.7256 1.639 182 640: 100%|██████████| 1/1 [00:00<00:00, 13.13it/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, 23.10it/s] all 15 182 0.595 0.676 0.61 0.213
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 2.3G 0.01363 0.6973 1.595 265 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 2.3G 0.01363 0.6973 1.595 265 640: 100%|██████████| 1/1 [00:00<00:00, 11.40it/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, 22.98it/s] all 15 182 0.589 0.676 0.61 0.207
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 2.31G 0.01376 0.7096 1.606 245 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 2.31G 0.01376 0.7096 1.606 245 640: 100%|██████████| 1/1 [00:00<00:00, 13.16it/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, 22.15it/s] all 15 182 0.589 0.676 0.61 0.207
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 2.29G 0.01305 0.6862 1.541 207 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 2.29G 0.01305 0.6862 1.541 207 640: 100%|██████████| 1/1 [00:00<00:00, 11.41it/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, 23.56it/s] all 15 182 0.625 0.626 0.606 0.206
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 2.29G 0.01313 0.6638 1.526 222 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 2.29G 0.01313 0.6638 1.526 222 640: 100%|██████████| 1/1 [00:00<00:00, 13.19it/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, 23.36it/s] all 15 182 0.625 0.626 0.606 0.206
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 2.29G 0.01349 0.7136 1.57 166 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 2.29G 0.01349 0.7136 1.57 166 640: 100%|██████████| 1/1 [00:00<00:00, 11.12it/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, 23.27it/s] all 15 182 0.653 0.643 0.607 0.218
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 2.23G 0.01329 0.7389 1.579 154 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 2.23G 0.01329 0.7389 1.579 154 640: 100%|██████████| 1/1 [00:00<00:00, 13.25it/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, 22.83it/s] all 15 182 0.653 0.643 0.607 0.218
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 2.32G 0.01362 0.6642 1.608 213 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 2.32G 0.01362 0.6642 1.608 213 640: 100%|██████████| 1/1 [00:00<00:00, 4.86it/s] 39/50 2.32G 0.01362 0.6642 1.608 213 640: 100%|██████████| 1/1 [00:00<00:00, 4.86it/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, 23.05it/s] all 15 182 0.638 0.649 0.597 0.221
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 2.31G 0.01417 0.7259 1.607 218 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 2.31G 0.01417 0.7259 1.607 218 640: 100%|██████████| 1/1 [00:00<00:00, 13.22it/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, 23.17it/s] all 15 182 0.638 0.649 0.597 0.221
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 2.24G 0.0121 0.8878 1.412 86 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 2.24G 0.0121 0.8878 1.412 86 640: 100%|██████████| 1/1 [00:01<00:00, 1.54s/it] 41/50 2.24G 0.0121 0.8878 1.412 86 640: 100%|██████████| 1/1 [00:01<00:00, 1.54s/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, 15.02it/s] all 15 182 0.641 0.643 0.6 0.224
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 2.23G 0.01289 0.8081 1.455 103 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 2.23G 0.01289 0.8081 1.455 103 640: 100%|██████████| 1/1 [00:00<00:00, 13.29it/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, 14.75it/s] all 15 182 0.641 0.643 0.6 0.224
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 2.24G 0.01388 0.8794 1.567 103 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 2.24G 0.01388 0.8794 1.567 103 640: 100%|██████████| 1/1 [00:00<00:00, 11.82it/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, 15.69it/s] all 15 182 0.641 0.648 0.604 0.222
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 2.23G 0.01301 0.8455 1.483 108 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 2.23G 0.01301 0.8455 1.483 108 640: 100%|██████████| 1/1 [00:00<00:00, 13.10it/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, 23.25it/s] all 15 182 0.641 0.648 0.604 0.222
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 2.23G 0.01215 0.8206 1.441 100 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 2.23G 0.01215 0.8206 1.441 100 640: 100%|██████████| 1/1 [00:00<00:00, 12.61it/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, 23.52it/s] all 15 182 0.644 0.657 0.615 0.233
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 2.23G 0.01253 0.8013 1.42 96 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 2.23G 0.01253 0.8013 1.42 96 640: 100%|██████████| 1/1 [00:00<00:00, 13.09it/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, 23.59it/s] all 15 182 0.644 0.657 0.615 0.233
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 2.23G 0.01248 0.7919 1.464 100 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 2.23G 0.01248 0.7919 1.464 100 640: 100%|██████████| 1/1 [00:00<00:00, 11.70it/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, 23.33it/s] all 15 182 0.639 0.665 0.611 0.236
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 2.23G 0.01228 0.8032 1.377 97 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 2.23G 0.01228 0.8032 1.377 97 640: 100%|██████████| 1/1 [00:00<00:00, 13.45it/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, 23.36it/s] all 15 182 0.639 0.665 0.611 0.236
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 2.23G 0.01239 0.8217 1.427 101 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 2.23G 0.01239 0.8217 1.427 101 640: 100%|██████████| 1/1 [00:00<00:00, 11.54it/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, 23.40it/s] all 15 182 0.618 0.654 0.592 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 2.23G 0.01264 0.7401 1.387 103 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 2.23G 0.01264 0.7401 1.387 103 640: 100%|██████████| 1/1 [00:00<00:00, 13.43it/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, 23.01it/s] all 15 182 0.618 0.654 0.592 0.232
50 epochs completed in 0.008 hours.
Optimizer stripped from runs/detect/train26/weights/last.pt, 6.3MB
Optimizer stripped from runs/detect/train26/weights/best.pt, 6.2MB
Validating runs/detect/train26/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, 3005843 parameters, 0 gradients, 8.1 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, 16.58it/s] all 15 182 0.637 0.732 0.7 0.29
Speed: 0.1ms preprocess, 0.5ms inference, 0.0ms loss, 0.8ms postprocess per image
Results saved to [1mruns/detect/train26[0m
wandb: - 12.009 MB of 12.009 MB uploadedwandb: \ 12.043 MB of 12.088 MB uploaded (0.002 MB deduped)wandb: | 12.043 MB of 12.088 MB uploaded (0.002 MB deduped)wandb: / 12.088 MB of 12.088 MB uploaded (0.002 MB deduped)wandb:
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 0.00041
wandb: lr/pg1 0.00041
wandb: lr/pg2 0.00041
wandb: metrics/mAP50(B) 0.70007
wandb: metrics/mAP50-95(B) 0.29042
wandb: metrics/precision(B) 0.63679
wandb: metrics/recall(B) 0.73212
wandb: model/GFLOPs 8.194
wandb: model/parameters 3011043
wandb: model/speed_PyTorch(ms) 7.723
wandb: train/box_loss 0.01264
wandb: train/cls_loss 0.74007
wandb: train/dfl_loss 1.38665
wandb: val/box_loss 0.01869
wandb: val/cls_loss 0.83772
wandb: val/dfl_loss 1.99858
wandb:
wandb: 🚀 View run train26 at: https://wandb.ai/fin-jason20/YOLOv8/runs/448ibl92
wandb: ️⚡ View job at https://wandb.ai/fin-jason20/YOLOv8/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjE1NTE4Mjc3OQ==/version_details/v12
wandb: Synced 6 W&B file(s), 20 media file(s), 7 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240402_014249-448ibl92/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, 3005843 parameters, 0 gradients, 8.1 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, 1.53it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.53it/s] all 15 182 0.64 0.731 0.7 0.289
Speed: 0.1ms preprocess, 6.9ms inference, 0.0ms loss, 1.2ms postprocess per image
Results saved to [1mruns/detect/train262[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 0x2af23c530220>
curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']
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fitness: 0.33001683965635126
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.2889])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.6397992344969794, 'metrics/recall(B)': 0.7307692307692307, 'metrics/mAP50(B)': 0.7001005471169974, 'metrics/mAP50-95(B)': 0.28889642771627944, 'fitness': 0.33001683965635126}
save_dir: PosixPath('runs/detect/train262')
speed: {'preprocess': 0.14077822367350262, 'inference': 6.940094629923502, 'loss': 0.00057220458984375, 'postprocess': 1.2270450592041016}
task: 'detect'