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anshm@ea-laggan:~/Documents/Realsense$ sudo python3 trainer.py
New https://pypi.org/project/ultralytics/8.3.100 available 😃 Update with 'pip install -U ultralytics'
Ultralytics 8.3.98 🚀 Python-3.10.12 torch-2.6.0+cu124 CUDA:0 (NVIDIA GeForce RTX 4070 Laptop GPU, 7933MiB)
engine/trainer: task=detect, mode=train, model=yolov8n.pt, data=datasets/data.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=None, 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, 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
Downloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/Ultralytics/Arial.ttf'...
100%|████████████████████████████████████████| 755k/755k [00:00<00:00, 20.3MB/s]
Overriding model.yaml nc=80 with nc=3
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 751897 ultralytics.nn.modules.head.Detect [3, [64, 128, 256]]
Model summary: 129 layers, 3,011,433 parameters, 3,011,417 gradients, 8.2 GFLOPs
Transferred 319/355 items from pretrained weights
Freezing layer 'model.22.dfl.conv.weight'
AMP: running Automatic Mixed Precision (AMP) checks...
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, 35.8MB/s]
AMP: checks passed ✅
train: Scanning /home/anshm/Documents/Realsense/datasets/labels/train... 82 imag
train: New cache created: /home/anshm/Documents/Realsense/datasets/labels/train.cache
val: Scanning /home/anshm/Documents/Realsense/datasets/labels/val... 22 images,
val: New cache created: /home/anshm/Documents/Realsense/datasets/labels/val.cache
/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
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=0.001429, momentum=0.9) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 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 2.07G 0.5356 3.301 0.9873 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.0064 0.715 0.204 0.187
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
2/100 2.08G 0.6084 2.93 1.006 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.0103 0.967 0.466 0.436
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
3/100 2.1G 0.5345 1.824 0.9107 20 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 1 0.124 0.52 0.474
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
4/100 2.12G 0.5259 1.357 0.907 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.747 0.287 0.628 0.59
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
5/100 2.14G 0.5394 1.158 0.9336 7 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.821 0.423 0.77 0.719
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
6/100 2.16G 0.5672 1 0.9442 15 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.972 0.537 0.936 0.865
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
7/100 2.17G 0.5056 0.905 0.895 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.999 0.742 0.919 0.839
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
8/100 2.19G 0.5404 0.8617 0.9116 15 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.981 0.871 0.938 0.846
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
9/100 2.22G 0.5608 0.8015 0.9211 17 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 1 0.849 0.965 0.839
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
10/100 2.23G 0.5476 0.9331 0.928 7 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 1 0.706 0.957 0.86
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
11/100 2.25G 0.5671 0.9571 0.9484 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 1 0.932 0.995 0.901
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
12/100 2.27G 0.5009 0.7761 0.8921 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.996 0.995 0.915
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
13/100 2.28G 0.5576 0.7885 0.932 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.956 0.933 0.985 0.877
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
14/100 2.3G 0.5578 0.8684 0.9272 20 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.886 0.941 0.968 0.874
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
15/100 2.32G 0.5674 0.8498 0.9436 9 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.923 0.985 0.983 0.893
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
16/100 2.33G 0.544 0.8071 0.923 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.884 0.997 0.97 0.896
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
17/100 2.35G 0.575 0.8069 0.9562 11 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.929 0.956 0.98 0.903
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
18/100 2.37G 0.5019 0.8287 0.9057 4 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.958 0.994 0.995 0.933
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
19/100 2.38G 0.51 0.7109 0.9233 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.949 0.98 0.994 0.912
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
20/100 2.4G 0.5268 0.7322 0.9083 25 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.963 0.997 0.995 0.933
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
21/100 2.42G 0.4744 0.6881 0.9068 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.975 1 0.995 0.911
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
22/100 2.43G 0.4807 0.6584 0.8923 17 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 1 0.995 0.912
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
23/100 2.45G 0.4867 0.6647 0.8961 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.99 0.998 0.995 0.922
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
24/100 2.47G 0.4558 0.6429 0.8732 18 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.985 0.995 0.995 0.927
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
25/100 2.49G 0.4534 0.6521 0.8766 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.98 0.998 0.995 0.924
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
26/100 2.51G 0.5042 0.6566 0.9114 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.972 1 0.995 0.932
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
27/100 2.52G 0.483 0.6273 0.8765 11 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.975 1 0.995 0.953
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
28/100 2.54G 0.4972 0.6515 0.9244 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.965 1 0.995 0.94
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
29/100 2.55G 0.4791 0.6875 0.9248 7 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.962 1 0.995 0.938
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
30/100 2.57G 0.5603 0.6716 1.003 9 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.975 1 0.995 0.944
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
31/100 2.59G 0.4936 0.6336 0.9305 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.932
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
32/100 2.61G 0.4172 0.5601 0.873 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.989 0.991 0.995 0.938
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
33/100 2.62G 0.4979 0.6328 0.9121 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.991 0.997 0.995 0.956
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
34/100 2.64G 0.4471 0.56 0.8973 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.995 0.998 0.995 0.94
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
35/100 2.66G 0.4474 0.5617 0.8825 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.995 0.997 0.995 0.935
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
36/100 2.67G 0.4564 0.5974 0.9148 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.964 0.997 0.995 0.944
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
37/100 2.69G 0.4807 0.6059 0.9145 17 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.989 0.969 0.995 0.947
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
38/100 2.71G 0.4726 0.5654 0.9172 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.977 0.994 0.943
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
39/100 2.73G 0.4759 0.562 0.9179 7 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.99 0.982 0.994 0.934
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
40/100 2.74G 0.4538 0.5926 0.9139 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.995 0.984 0.994 0.945
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
41/100 2.76G 0.4607 0.5321 0.8875 9 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.996 0.984 0.994 0.944
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
42/100 2.78G 0.4474 0.519 0.8874 21 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.993 0.982 0.994 0.944
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
43/100 2.79G 0.4607 0.5248 0.9025 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.982 0.994 0.952
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
44/100 2.81G 0.467 0.5254 0.9002 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.986 0.995 0.947
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
45/100 2.83G 0.4369 0.512 0.8668 18 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.989 0.986 0.995 0.95
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
46/100 2.84G 0.4988 0.5377 0.9236 16 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.994 0.985 0.995 0.948
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
47/100 2.87G 0.4164 0.4881 0.8776 20 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.984 0.995 0.945
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
48/100 2.88G 0.4083 0.4864 0.8828 9 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.99 0.985 0.995 0.943
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
49/100 2.9G 0.4247 0.4961 0.8788 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.986 0.985 0.995 0.941
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
50/100 2.91G 0.3947 0.4698 0.8699 11 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.987 0.986 0.995 0.942
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
51/100 2.93G 0.3778 0.4757 0.8744 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.986 0.995 0.948
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
52/100 2.95G 0.3968 0.4727 0.8621 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.994 0.987 0.995 0.95
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
53/100 2.96G 0.4185 0.4843 0.8825 15 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.986 0.995 0.951
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
54/100 2.98G 0.4734 0.4767 0.9133 21 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.987 0.995 0.94
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
55/100 3G 0.4301 0.459 0.9109 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.992 0.987 0.995 0.947
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
56/100 3.02G 0.4034 0.517 0.8967 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.985 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
57/100 3.03G 0.4277 0.5763 0.8641 3 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.968 0.998 0.995 0.96
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
58/100 3.05G 0.4239 0.5323 0.9088 5 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.98 1 0.995 0.945
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
59/100 3.07G 0.4034 0.4456 0.8708 20 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.985 1 0.995 0.938
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
60/100 3.09G 0.4029 0.471 0.909 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.93
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
61/100 3.1G 0.4288 0.4621 0.8887 19 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.975 1 0.995 0.935
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
62/100 3.12G 0.4141 0.4628 0.8734 21 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.969 1 0.995 0.951
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
63/100 3.14G 0.3901 0.458 0.8805 15 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.966 1 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
64/100 3.15G 0.4469 0.4648 0.9085 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.968 1 0.995 0.965
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
65/100 3.17G 0.4038 0.4591 0.8791 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.97 1 0.995 0.963
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
66/100 3.19G 0.3737 0.4255 0.8512 17 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.974 1 0.995 0.963
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
67/100 3.21G 0.414 0.4573 0.899 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.979 0.998 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
68/100 3.22G 0.363 0.4112 0.8626 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.979 0.998 0.995 0.956
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
69/100 3.24G 0.3643 0.4233 0.8596 28 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.978 0.995 0.995 0.963
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
70/100 3.26G 0.3748 0.4186 0.893 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.975 1 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
71/100 3.27G 0.4229 0.4669 0.9297 5 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.974 1 0.995 0.961
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
72/100 3.29G 0.3874 0.4064 0.8839 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.974 1 0.994 0.962
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
73/100 3.31G 0.3642 0.4119 0.8666 11 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.974 1 0.994 0.957
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
74/100 3.33G 0.3818 0.4143 0.8539 17 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.974 1 0.994 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
75/100 3.34G 0.3631 0.3973 0.8675 15 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.975 1 0.994 0.954
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
76/100 3.36G 0.3733 0.5044 0.916 3 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.978 1 0.995 0.961
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
77/100 3.38G 0.3282 0.4163 0.8643 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.979 1 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
78/100 3.39G 0.4011 0.4669 0.9265 5 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.951
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
79/100 3.41G 0.3671 0.398 0.8645 18 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.948
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
80/100 3.43G 0.3528 0.3979 0.874 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.982 1 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
81/100 3.44G 0.3815 0.445 0.898 7 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.986 1 0.995 0.967
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
82/100 3.46G 0.3569 0.3783 0.89 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.996 0.995 0.96
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
83/100 3.48G 0.3487 0.3865 0.8863 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.989 0.992 0.995 0.954
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
84/100 3.49G 0.3591 0.4161 0.8717 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.987 0.995 0.957
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
85/100 3.52G 0.3331 0.3568 0.8533 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.973 1 0.995 0.95
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
86/100 3.53G 0.3805 0.3782 0.871 14 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.971 0.999 0.995 0.96
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
87/100 3.55G 0.4114 0.414 0.9314 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.97 0.998 0.995 0.966
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
88/100 3.56G 0.3241 0.3741 0.8669 12 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.983 0.985 0.995 0.968
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
89/100 3.58G 0.3178 0.3706 0.8479 16 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.986 0.984 0.995 0.966
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
90/100 3.6G 0.3368 0.3604 0.8646 13 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.984 0.995 0.966
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
91/100 3.61G 0.2454 0.3961 0.8129 3 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.988 0.987 0.995 0.958
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
92/100 3.63G 0.2327 0.3886 0.7979 3 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.989 0.989 0.995 0.96
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
93/100 3.65G 0.2359 0.4005 0.7874 10 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.989 0.99 0.995 0.951
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
94/100 3.67G 0.2486 0.3741 0.7898 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.978 0.994 0.995 0.957
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
95/100 3.68G 0.2446 0.3813 0.7919 5 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.978 0.996 0.995 0.955
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
96/100 3.7G 0.2542 0.3751 0.7872 5 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.953
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
97/100 3.71G 0.2304 0.3764 0.7949 3 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.957
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
98/100 3.73G 0.2457 0.3825 0.8024 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.959
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
99/100 3.75G 0.2416 0.3473 0.8196 8 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.959
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
100/100 3.77G 0.223 0.348 0.7808 6 640: 1
Class Images Instances Box(P R mAP50 m
all 22 55 0.976 1 0.995 0.956
100 epochs completed in 0.019 hours.
Optimizer stripped from runs/detect/train3/weights/last.pt, 6.3MB
Optimizer stripped from runs/detect/train3/weights/best.pt, 6.3MB
Validating runs/detect/train3/weights/best.pt...
Ultralytics 8.3.98 🚀 Python-3.10.12 torch-2.6.0+cu124 CUDA:0 (NVIDIA GeForce RTX 4070 Laptop GPU, 7933MiB)
Model summary (fused): 72 layers, 3,006,233 parameters, 0 gradients, 8.1 GFLOPs
Class Images Instances Box(P R mAP50 m
all 22 55 0.983 0.985 0.995 0.97
tree 10 15 0.953 1 0.995 0.962
fire 10 19 0.997 1 0.995 0.976
house 11 21 1 0.954 0.995 0.973
Speed: 0.2ms preprocess, 1.1ms inference, 0.0ms loss, 0.4ms postprocess per image
Results saved to runs/detect/train3