!pip install ultralytics
Collecting ultralytics
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Collecting ultralytics-thop>=2.0.0 (from ultralytics)
Downloading ultralytics_thop-2.0.9-py3-none-any.whl.metadata (9.3 kB)
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Downloading ultralytics-8.3.22-py3-none-any.whl (877 kB)
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Downloading ultralytics_thop-2.0.9-py3-none-any.whl (26 kB)
Installing collected packages: ultralytics-thop, ultralytics
Successfully installed ultralytics-8.3.22 ultralytics-thop-2.0.9
from ultralytics import YOLO
import os
model = YOLO()
Downloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt to 'yolo11n.pt'...
100%|██████████| 5.35M/5.35M [00:00<00:00, 52.8MB/s]
# 이거 중요하다. 갑자기 필요해짐.
os.environ['WANDB_MODE'] = 'disabled'
model.train(model = '/content/yolo11n.pt',
data = 'coco8.yaml'
)
Ultralytics 8.3.22 🚀 Python-3.10.12 torch-2.5.0+cu121 CPU (Intel Xeon 2.20GHz)
engine/trainer: task=detect, mode=train, model=/content/yolo11n.pt, data=coco8.yaml, epochs=100, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train3, 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=True, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train3
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 6640 ultralytics.nn.modules.block.C3k2 [32, 64, 1, False, 0.25]
3 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2]
4 -1 1 26080 ultralytics.nn.modules.block.C3k2 [64, 128, 1, False, 0.25]
5 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
6 -1 1 87040 ultralytics.nn.modules.block.C3k2 [128, 128, 1, True]
7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
8 -1 1 346112 ultralytics.nn.modules.block.C3k2 [256, 256, 1, True]
9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5]
10 -1 1 249728 ultralytics.nn.modules.block.C2PSA [256, 256, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
13 -1 1 111296 ultralytics.nn.modules.block.C3k2 [384, 128, 1, False]
14 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
15 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
16 -1 1 32096 ultralytics.nn.modules.block.C3k2 [256, 64, 1, False]
17 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2]
18 [-1, 13] 1 0 ultralytics.nn.modules.conv.Concat [1]
19 -1 1 86720 ultralytics.nn.modules.block.C3k2 [192, 128, 1, False]
20 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
21 [-1, 10] 1 0 ultralytics.nn.modules.conv.Concat [1]
22 -1 1 378880 ultralytics.nn.modules.block.C3k2 [384, 256, 1, True]
23 [16, 19, 22] 1 464912 ultralytics.nn.modules.head.Detect [80, [64, 128, 256]]
YOLO11n summary: 319 layers, 2,624,080 parameters, 2,624,064 gradients, 6.6 GFLOPs
Transferred 499/499 items from pretrained weights
TensorBoard: Start with 'tensorboard --logdir runs/detect/train3', view at http://localhost:6006/
Changes to your `wandb` environment variables will be ignored because your `wandb` session has already started. For more information on how to modify your settings with `wandb.init()` arguments, please refer to the W&B docs.
Freezing layer 'model.23.dfl.conv.weight'
train: Scanning /content/datasets/coco8/labels/train... 4 images, 0 backgrounds, 0 corrupt: 100%|██████████| 4/4 [00:00<00:00, 71.16it/s]train: New cache created: /content/datasets/coco8/labels/train.cache
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
/usr/local/lib/python3.10/dist-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 1.4.20 (you have 1.4.15). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
check_for_updates()
val: Scanning /content/datasets/coco8/labels/val... 4 images, 0 backgrounds, 0 corrupt: 100%|██████████| 4/4 [00:00<00:00, 5154.29it/s]val: New cache created: /content/datasets/coco8/labels/val.cache
Plotting labels to runs/detect/train3/labels.jpg...
optimizer: 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically...
optimizer: AdamW(lr=0.000119, momentum=0.9) with parameter groups 81 weight(decay=0.0), 88 weight(decay=0.0005), 87 bias(decay=0.0)
TensorBoard: model graph visualization added ✅
Image sizes 640 train, 640 val
Using 0 dataloader workers
Logging results to runs/detect/train3
Starting training for 100 epochs...
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
1/100 0G 1.365 3.625 1.786 19 640: 100%|██████████| 1/1 [00:04<00:00, 4.88s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:02<00:00, 2.03s/it] all 4 17 0.56 0.85 0.88 0.636
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
2/100 0G 1.181 2.736 1.443 34 640: 100%|██████████| 1/1 [00:05<00:00, 5.22s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.31s/it] all 4 17 0.559 0.85 0.892 0.638
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
3/100 0G 1.073 2.641 1.224 29 640: 100%|██████████| 1/1 [00:03<00:00, 3.53s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.29s/it] all 4 17 0.555 0.85 0.854 0.653
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
4/100 0G 1.254 3.31 1.567 20 640: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.79s/it] all 4 17 0.539 0.85 0.856 0.655
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
5/100 0G 1.214 3.001 1.485 29 640: 100%|██████████| 1/1 [00:03<00:00, 3.58s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.29s/it] all 4 17 0.535 0.85 0.878 0.641
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
6/100 0G 0.99 2.694 1.333 28 640: 100%|██████████| 1/1 [00:03<00:00, 3.67s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.85s/it] all 4 17 0.548 0.85 0.878 0.641
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
7/100 0G 0.8189 2.642 1.309 22 640: 100%|██████████| 1/1 [00:03<00:00, 3.97s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.33s/it] all 4 17 0.822 0.65 0.858 0.63
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
8/100 0G 1.354 2.951 1.587 23 640: 100%|██████████| 1/1 [00:03<00:00, 3.49s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.553 0.866 0.86 0.629
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
9/100 0G 1.018 2.218 1.433 21 640: 100%|██████████| 1/1 [00:05<00:00, 5.18s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:02<00:00, 2.10s/it] all 4 17 0.551 0.867 0.872 0.631
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
10/100 0G 0.9819 2.952 1.376 34 640: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.33s/it] all 4 17 0.589 0.867 0.887 0.631
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
11/100 0G 1.21 2.58 1.499 36 640: 100%|██████████| 1/1 [00:05<00:00, 5.22s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.45s/it] all 4 17 0.584 0.867 0.895 0.628
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
12/100 0G 1.231 2.043 1.388 32 640: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.56s/it] all 4 17 0.588 0.867 0.859 0.625
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
13/100 0G 1.052 2.231 1.369 33 640: 100%|██████████| 1/1 [00:04<00:00, 4.36s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.91s/it] all 4 17 0.589 0.867 0.861 0.626
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
14/100 0G 1.269 2.997 1.576 34 640: 100%|██████████| 1/1 [00:03<00:00, 3.95s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.40s/it] all 4 17 0.597 0.867 0.855 0.624
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
15/100 0G 0.8093 1.839 1.375 15 640: 100%|██████████| 1/1 [00:03<00:00, 3.88s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:02<00:00, 2.08s/it] all 4 17 0.598 0.867 0.854 0.624
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
16/100 0G 1.373 2.54 1.818 15 640: 100%|██████████| 1/1 [00:03<00:00, 3.94s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.30s/it] all 4 17 0.597 0.867 0.856 0.608
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
17/100 0G 1.005 2.344 1.411 27 640: 100%|██████████| 1/1 [00:03<00:00, 3.43s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.603 0.867 0.857 0.604
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
18/100 0G 1.264 1.896 1.502 22 640: 100%|██████████| 1/1 [00:04<00:00, 4.84s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.34s/it] all 4 17 0.603 0.867 0.857 0.604
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
19/100 0G 1.08 1.879 1.379 34 640: 100%|██████████| 1/1 [00:03<00:00, 3.66s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.619 0.7 0.873 0.617
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
20/100 0G 0.7695 1.37 1.144 25 640: 100%|██████████| 1/1 [00:04<00:00, 4.46s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.88s/it] all 4 17 0.619 0.7 0.873 0.617
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
21/100 0G 1.251 1.839 1.345 33 640: 100%|██████████| 1/1 [00:03<00:00, 3.61s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.24s/it] all 4 17 0.636 0.7 0.864 0.619
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
22/100 0G 0.8859 1.815 1.304 23 640: 100%|██████████| 1/1 [00:03<00:00, 3.43s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.84s/it] all 4 17 0.636 0.7 0.864 0.619
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
23/100 0G 0.9217 2.116 1.352 21 640: 100%|██████████| 1/1 [00:04<00:00, 4.27s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.33s/it] all 4 17 0.653 0.699 0.886 0.61
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
24/100 0G 1.217 2.104 1.538 29 640: 100%|██████████| 1/1 [00:03<00:00, 3.53s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.31s/it] all 4 17 0.653 0.699 0.886 0.61
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
25/100 0G 1.006 2.878 1.384 53 640: 100%|██████████| 1/1 [00:04<00:00, 4.92s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.35s/it] all 4 17 0.66 0.7 0.877 0.613
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
26/100 0G 1.152 1.711 1.466 20 640: 100%|██████████| 1/1 [00:03<00:00, 3.44s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.31s/it] all 4 17 0.66 0.7 0.877 0.613
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
27/100 0G 1.179 1.386 1.631 20 640: 100%|██████████| 1/1 [00:04<00:00, 4.59s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.95s/it] all 4 17 0.659 0.7 0.856 0.608
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
28/100 0G 0.961 2.159 1.42 29 640: 100%|██████████| 1/1 [00:03<00:00, 3.55s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.29s/it] all 4 17 0.659 0.7 0.856 0.608
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
29/100 0G 1.168 1.979 1.441 30 640: 100%|██████████| 1/1 [00:03<00:00, 3.45s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.76s/it] all 4 17 0.655 0.7 0.854 0.61
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
30/100 0G 0.9706 1.323 1.404 24 640: 100%|██████████| 1/1 [00:04<00:00, 4.03s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.655 0.7 0.854 0.61
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
31/100 0G 0.9926 1.382 1.422 28 640: 100%|██████████| 1/1 [00:03<00:00, 3.53s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.24s/it] all 4 17 0.661 0.696 0.853 0.598
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
32/100 0G 1.2 2.18 1.392 23 640: 100%|██████████| 1/1 [00:04<00:00, 4.87s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.47s/it] all 4 17 0.661 0.696 0.853 0.598
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
33/100 0G 0.9065 1.548 1.166 44 640: 100%|██████████| 1/1 [00:03<00:00, 3.65s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.36s/it] all 4 17 0.665 0.698 0.853 0.598
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
34/100 0G 1.259 1.788 1.549 21 640: 100%|██████████| 1/1 [00:03<00:00, 3.91s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.85s/it] all 4 17 0.665 0.698 0.853 0.598
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
35/100 0G 0.7763 1.665 1.27 16 640: 100%|██████████| 1/1 [00:03<00:00, 3.48s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.23s/it] all 4 17 0.682 0.695 0.85 0.595
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
36/100 0G 1.176 1.853 1.483 19 640: 100%|██████████| 1/1 [00:03<00:00, 3.32s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.24s/it] all 4 17 0.682 0.695 0.85 0.595
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
37/100 0G 0.9014 1.644 1.316 26 640: 100%|██████████| 1/1 [00:04<00:00, 4.83s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.698 0.688 0.852 0.577
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
38/100 0G 0.9053 1.303 1.352 28 640: 100%|██████████| 1/1 [00:03<00:00, 3.43s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.29s/it] all 4 17 0.698 0.688 0.852 0.577
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
39/100 0G 0.8369 1.046 1.258 29 640: 100%|██████████| 1/1 [00:04<00:00, 4.76s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.70s/it] all 4 17 0.706 0.601 0.824 0.56
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
40/100 0G 0.7942 1.169 1.205 27 640: 100%|██████████| 1/1 [00:03<00:00, 3.51s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.31s/it] all 4 17 0.706 0.601 0.824 0.56
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
41/100 0G 1.056 1.486 1.453 33 640: 100%|██████████| 1/1 [00:03<00:00, 3.70s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.84s/it] all 4 17 0.707 0.594 0.824 0.559
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
42/100 0G 1.008 1.5 1.289 35 640: 100%|██████████| 1/1 [00:03<00:00, 3.61s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.30s/it] all 4 17 0.707 0.594 0.824 0.559
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
43/100 0G 0.7528 0.9086 1.244 21 640: 100%|██████████| 1/1 [00:03<00:00, 3.51s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.706 0.583 0.823 0.542
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
44/100 0G 0.8183 1.152 1.157 46 640: 100%|██████████| 1/1 [00:04<00:00, 4.57s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.30s/it] all 4 17 0.706 0.583 0.823 0.542
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
45/100 0G 0.7414 1.147 1.201 31 640: 100%|██████████| 1/1 [00:03<00:00, 3.45s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.23s/it] all 4 17 0.708 0.567 0.743 0.466
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
46/100 0G 0.8108 0.9706 1.067 41 640: 100%|██████████| 1/1 [00:04<00:00, 4.37s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:02<00:00, 2.03s/it] all 4 17 0.708 0.567 0.743 0.466
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
47/100 0G 0.8146 1.361 1.204 41 640: 100%|██████████| 1/1 [00:04<00:00, 4.37s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.25s/it] all 4 17 0.728 0.567 0.746 0.463
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
48/100 0G 0.7575 1.147 1.058 44 640: 100%|██████████| 1/1 [00:03<00:00, 3.38s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.42s/it] all 4 17 0.728 0.567 0.746 0.463
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
49/100 0G 0.8336 1.107 1.139 32 640: 100%|██████████| 1/1 [00:04<00:00, 4.45s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.736 0.567 0.708 0.39
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
50/100 0G 0.7313 0.8772 1.222 24 640: 100%|██████████| 1/1 [00:03<00:00, 3.37s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.28s/it] all 4 17 0.736 0.567 0.708 0.39
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
51/100 0G 1.089 1.291 1.378 23 640: 100%|██████████| 1/1 [00:04<00:00, 4.55s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.91s/it] all 4 17 0.213 0.9 0.7 0.404
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
52/100 0G 1.085 1 1.448 19 640: 100%|██████████| 1/1 [00:03<00:00, 3.37s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.36s/it] all 4 17 0.213 0.9 0.7 0.404
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
53/100 0G 0.9452 1.06 1.284 22 640: 100%|██████████| 1/1 [00:03<00:00, 3.33s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.90s/it] all 4 17 0.213 0.9 0.7 0.404
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
54/100 0G 0.9376 1.031 1.537 15 640: 100%|██████████| 1/1 [00:03<00:00, 3.90s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.853 0.399 0.715 0.39
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
55/100 0G 0.6653 0.8274 1.147 23 640: 100%|██████████| 1/1 [00:03<00:00, 3.32s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.853 0.399 0.715 0.39
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
56/100 0G 1.017 0.9808 1.355 28 640: 100%|██████████| 1/1 [00:05<00:00, 5.04s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.36s/it] all 4 17 0.853 0.399 0.715 0.39
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
57/100 0G 0.7954 0.9186 1.25 24 640: 100%|██████████| 1/1 [00:03<00:00, 3.51s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.874 0.412 0.627 0.32
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
58/100 0G 0.859 1.02 1.247 28 640: 100%|██████████| 1/1 [00:03<00:00, 3.90s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.91s/it] all 4 17 0.874 0.412 0.627 0.32
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
59/100 0G 0.6066 0.6533 1.057 18 640: 100%|██████████| 1/1 [00:03<00:00, 3.38s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.31s/it] all 4 17 0.874 0.412 0.627 0.32
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
60/100 0G 0.7627 0.8149 1.127 20 640: 100%|██████████| 1/1 [00:03<00:00, 3.49s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.45s/it] all 4 17 0.853 0.399 0.581 0.294
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
61/100 0G 0.7327 0.8503 1.205 24 640: 100%|██████████| 1/1 [00:04<00:00, 4.48s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.36s/it] all 4 17 0.853 0.399 0.581 0.294
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
62/100 0G 0.7128 0.7383 1.06 32 640: 100%|██████████| 1/1 [00:03<00:00, 3.46s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.23s/it] all 4 17 0.853 0.399 0.581 0.294
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
63/100 0G 0.7697 1.46 1.143 37 640: 100%|██████████| 1/1 [00:04<00:00, 4.75s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.62s/it] all 4 17 0.855 0.397 0.542 0.248
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
64/100 0G 0.7487 1.171 1.141 19 640: 100%|██████████| 1/1 [00:03<00:00, 3.52s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.855 0.397 0.542 0.248
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
65/100 0G 0.7987 0.9522 1.202 18 640: 100%|██████████| 1/1 [00:03<00:00, 3.50s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.84s/it] all 4 17 0.855 0.397 0.542 0.248
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
66/100 0G 0.7662 1.028 1.298 21 640: 100%|██████████| 1/1 [00:03<00:00, 3.99s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.28s/it] all 4 17 0.856 0.396 0.531 0.241
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
67/100 0G 0.7293 0.9242 1.074 43 640: 100%|██████████| 1/1 [00:03<00:00, 3.35s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.856 0.396 0.531 0.241
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
68/100 0G 0.7568 0.7387 1.096 31 640: 100%|██████████| 1/1 [00:04<00:00, 4.86s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.34s/it] all 4 17 0.856 0.396 0.531 0.241
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
69/100 0G 0.5303 0.6576 1.051 26 640: 100%|██████████| 1/1 [00:03<00:00, 3.37s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.23s/it] all 4 17 0.855 0.396 0.554 0.24
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
70/100 0G 0.8682 0.9178 1.271 23 640: 100%|██████████| 1/1 [00:03<00:00, 3.67s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.82s/it] all 4 17 0.855 0.396 0.554 0.24
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
71/100 0G 0.824 0.8157 1.315 25 640: 100%|██████████| 1/1 [00:03<00:00, 3.59s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.24s/it] all 4 17 0.855 0.396 0.554 0.24
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
72/100 0G 0.8788 0.7945 1.311 23 640: 100%|██████████| 1/1 [00:03<00:00, 3.39s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.22s/it] all 4 17 0.857 0.398 0.549 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
73/100 0G 1.217 2.39 1.567 42 640: 100%|██████████| 1/1 [00:05<00:00, 5.46s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.29s/it] all 4 17 0.857 0.398 0.549 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
74/100 0G 0.7755 0.6939 1.214 25 640: 100%|██████████| 1/1 [00:03<00:00, 3.38s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.25s/it] all 4 17 0.857 0.398 0.549 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
75/100 0G 0.5585 0.5554 1.008 28 640: 100%|██████████| 1/1 [00:04<00:00, 4.41s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:02<00:00, 2.01s/it] all 4 17 0.856 0.399 0.548 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
76/100 0G 0.6637 0.7137 1.153 27 640: 100%|██████████| 1/1 [00:03<00:00, 3.41s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.52s/it] all 4 17 0.856 0.399 0.548 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
77/100 0G 0.6985 0.8137 1.068 36 640: 100%|██████████| 1/1 [00:03<00:00, 3.96s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:02<00:00, 2.40s/it] all 4 17 0.856 0.399 0.548 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
78/100 0G 0.7346 0.6835 1.099 35 640: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.25s/it] all 4 17 0.857 0.397 0.548 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
79/100 0G 0.5204 0.5905 0.9687 35 640: 100%|██████████| 1/1 [00:03<00:00, 3.31s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.22s/it] all 4 17 0.857 0.397 0.548 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
80/100 0G 0.8955 0.7264 1.337 23 640: 100%|██████████| 1/1 [00:04<00:00, 4.53s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.77s/it] all 4 17 0.857 0.397 0.548 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
81/100 0G 0.6781 0.9198 1.145 31 640: 100%|██████████| 1/1 [00:03<00:00, 3.38s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.22s/it] all 4 17 0.875 0.41 0.551 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
82/100 0G 0.5347 0.5008 0.9619 25 640: 100%|██████████| 1/1 [00:03<00:00, 3.32s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.74s/it] all 4 17 0.875 0.41 0.551 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
83/100 0G 0.6347 0.7548 1.113 19 640: 100%|██████████| 1/1 [00:03<00:00, 3.85s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.23s/it] all 4 17 0.875 0.41 0.551 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
84/100 0G 0.7587 1.085 1.161 42 640: 100%|██████████| 1/1 [00:04<00:00, 4.72s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.87s/it] all 4 17 0.875 0.407 0.53 0.23
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
85/100 0G 0.8041 0.9754 1.193 37 640: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.22s/it] all 4 17 0.875 0.407 0.53 0.23
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
86/100 0G 0.8663 0.9205 1.325 27 640: 100%|██████████| 1/1 [00:03<00:00, 3.28s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.875 0.407 0.53 0.23
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
87/100 0G 0.5634 0.7484 1.069 29 640: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.65s/it] all 4 17 0.875 0.407 0.53 0.23
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
88/100 0G 0.5676 0.7988 1.048 25 640: 100%|██████████| 1/1 [00:03<00:00, 3.41s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.25s/it] all 4 17 0.876 0.406 0.532 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
89/100 0G 0.828 0.7666 1.355 19 640: 100%|██████████| 1/1 [00:03<00:00, 3.32s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.81s/it] all 4 17 0.876 0.406 0.532 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
90/100 0G 0.7668 0.6683 1.157 28 640: 100%|██████████| 1/1 [00:03<00:00, 3.78s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.876 0.406 0.532 0.238
Closing dataloader mosaic
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
91/100 0G 0.6119 0.5939 1.148 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.25s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.876 0.406 0.532 0.238
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
92/100 0G 0.5929 0.6011 1.122 13 640: 100%|██████████| 1/1 [00:04<00:00, 4.86s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.37s/it] all 4 17 0.876 0.409 0.522 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
93/100 0G 0.6514 0.6018 0.936 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.26s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.33s/it] all 4 17 0.876 0.409 0.522 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
94/100 0G 0.6051 0.5271 1.146 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.83s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.77s/it] all 4 17 0.876 0.409 0.522 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
95/100 0G 0.5239 0.4726 0.8946 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.45s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.31s/it] all 4 17 0.876 0.409 0.522 0.232
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
96/100 0G 0.6798 0.6378 0.9684 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.52s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.61s/it] all 4 17 0.853 0.416 0.55 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
97/100 0G 0.482 0.5032 0.9394 13 640: 100%|██████████| 1/1 [00:04<00:00, 4.05s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.26s/it] all 4 17 0.853 0.416 0.55 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
98/100 0G 0.4281 0.4261 0.9336 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.33s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.23s/it] all 4 17 0.853 0.416 0.55 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
99/100 0G 0.613 0.5323 1.027 13 640: 100%|██████████| 1/1 [00:04<00:00, 4.35s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.77s/it] all 4 17 0.853 0.416 0.55 0.242
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
100/100 0G 0.5133 0.453 0.959 13 640: 100%|██████████| 1/1 [00:03<00:00, 3.41s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.27s/it] all 4 17 0.665 0.417 0.524 0.245
100 epochs completed in 0.180 hours.
Optimizer stripped from runs/detect/train3/weights/last.pt, 5.5MB
Optimizer stripped from runs/detect/train3/weights/best.pt, 5.5MB
Validating runs/detect/train3/weights/best.pt...
Ultralytics 8.3.22 🚀 Python-3.10.12 torch-2.5.0+cu121 CPU (Intel Xeon 2.20GHz)
YOLO11n summary (fused): 238 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:01<00:00, 1.03s/it]
all 4 17 0.541 0.85 0.856 0.655
person 3 10 0.551 0.6 0.624 0.306
dog 1 1 0.535 1 0.995 0.796
horse 1 2 0.414 1 0.995 0.675
elephant 1 2 0.355 0.5 0.529 0.261
umbrella 1 1 0.56 1 0.995 0.995
potted plant 1 1 0.835 1 0.995 0.895
Speed: 2.5ms preprocess, 241.5ms inference, 0.0ms loss, 3.2ms postprocess per image
Results saved to runs/detect/train3
ultralytics.utils.metrics.DetMetrics object with attributes:
ap_class_index: array([ 0, 16, 17, 20, 25, 58])
box: ultralytics.utils.metrics.Metric object
confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x7b0920281c60>
curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']
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names: {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}
plot: True
results_dict: {'metrics/precision(B)': 0.5414974778170102, 'metrics/recall(B)': 0.85, 'metrics/mAP50(B)': 0.8556542623116594, 'metrics/mAP50-95(B)': 0.6547893730527907, 'fitness': 0.6748758619786775}
save_dir: PosixPath('runs/detect/train3')
speed: {'preprocess': 2.496957778930664, 'inference': 241.48929119110107, 'loss': 0.0007152557373046875, 'postprocess': 3.166317939758301}
task: 'detect'
results = model.predict(save=True, save_txt=True)
WARNING ⚠️ 'source' is missing. Using 'source=/usr/local/lib/python3.10/dist-packages/ultralytics/assets'.
image 1/2 /usr/local/lib/python3.10/dist-packages/ultralytics/assets/bus.jpg: 640x480 4 persons, 1 bus, 305.9ms
image 2/2 /usr/local/lib/python3.10/dist-packages/ultralytics/assets/zidane.jpg: 384x640 2 persons, 1 tie, 160.7ms
Speed: 4.5ms preprocess, 233.3ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)
Results saved to runs/detect/train32
2 labels saved to runs/detect/train32/labels
