{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "id": "g9wWC0JnuFiH" }, "outputs": [], "source": [ "!pip install ultralytics" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "x4Ld6n7cyyzC", "outputId": "5345caf8-5094-4c58-91c1-88cd78105e96" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mounted at /content/drive\n" ] } ], "source": [ "from google.colab import drive\n", "drive.mount('/content/drive')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "pJhgG-a5vCBV", "outputId": "882b2200-edf0-4c87-d3f7-1a51a0eb4f1b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating new Ultralytics Settings v0.0.6 file ✅ \n", "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n", "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n", "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m.pt to 'yolo11m.pt': 100% ━━━━━━━━━━━━ 38.8MB 37.7MB/s 1.0s\n", "Ultralytics 8.3.240 🚀 Python-3.12.12 torch-2.9.0+cu126 CUDA:0 (Tesla T4, 15095MiB)\n", "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=10, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/content/drive/MyDrive/custom_data/dataset_custom.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=100, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolo11m.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=train, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=None, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/content/runs/detect/train, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", "\u001b[KDownloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/Ultralytics/Arial.ttf': 100% ━━━━━━━━━━━━ 755.1KB 113.4MB/s 0.0s\n", "Overriding model.yaml nc=80 with nc=1\n", "\n", " from n params module arguments \n", " 0 -1 1 1856 ultralytics.nn.modules.conv.Conv [3, 64, 3, 2] \n", " 1 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", " 2 -1 1 111872 ultralytics.nn.modules.block.C3k2 [128, 256, 1, True, 0.25] \n", " 3 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2] \n", " 4 -1 1 444928 ultralytics.nn.modules.block.C3k2 [256, 512, 1, True, 0.25] \n", " 5 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2] \n", " 6 -1 1 1380352 ultralytics.nn.modules.block.C3k2 [512, 512, 1, True] \n", " 7 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2] \n", " 8 -1 1 1380352 ultralytics.nn.modules.block.C3k2 [512, 512, 1, True] \n", " 9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5] \n", " 10 -1 1 990976 ultralytics.nn.modules.block.C2PSA [512, 512, 1] \n", " 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", " 12 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 13 -1 1 1642496 ultralytics.nn.modules.block.C3k2 [1024, 512, 1, True] \n", " 14 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", " 15 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 16 -1 1 542720 ultralytics.nn.modules.block.C3k2 [1024, 256, 1, True] \n", " 17 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2] \n", " 18 [-1, 13] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 19 -1 1 1511424 ultralytics.nn.modules.block.C3k2 [768, 512, 1, True] \n", " 20 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2] \n", " 21 [-1, 10] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 22 -1 1 1642496 ultralytics.nn.modules.block.C3k2 [1024, 512, 1, True] \n", " 23 [16, 19, 22] 1 1411795 ultralytics.nn.modules.head.Detect [1, [256, 512, 512]] \n", "YOLO11m summary: 231 layers, 20,053,779 parameters, 20,053,763 gradients, 68.2 GFLOPs\n", "\n", "Transferred 643/649 items from pretrained weights\n", "Freezing layer 'model.23.dfl.conv.weight'\n", "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt to 'yolo11n.pt': 100% ━━━━━━━━━━━━ 5.4MB 240.0MB/s 0.0s\n", "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.4±0.1 ms, read: 0.2±0.1 MB/s, size: 138.5 KB)\n", "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/custom_data/train/labels... 72 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 72/72 1.2s/it 1:28\n", "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/drive/MyDrive/custom_data/train/labels.cache\n", "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.7±0.2 ms, read: 0.2±0.1 MB/s, size: 143.6 KB)\n", "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/custom_data/val/labels... 28 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 28/28 1.2s/it 33.5s\n", "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/custom_data/val/labels.cache\n", "Plotting labels to /content/runs/detect/train/labels.jpg... \n", "\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n", "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 106 weight(decay=0.0), 113 weight(decay=0.00046875), 112 bias(decay=0.0)\n", "Image sizes 640 train, 640 val\n", "Using 2 dataloader workers\n", "Logging results to \u001b[1m/content/runs/detect/train\u001b[0m\n", "Starting training for 100 epochs...\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 1/100 5.03G 2.492 3.691 2.634 6 640: 100% ━━━━━━━━━━━━ 8/8 2.3s/it 18.4s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 3.5s/it 6.9s\n", " all 28 34 0.165 0.302 0.0852 0.0173\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 2/100 5.43G 2.347 3.287 2.414 10 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.3it/s 0.3s\n", " all 28 34 0.0107 0.265 0.00767 0.00189\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 3/100 5.5G 2.535 3.588 2.612 3 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.0139 0.0882 0.00956 0.00246\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 4/100 5.54G 2.511 3.263 2.559 8 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.00062 0.147 0.000583 0.000124\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 5/100 5.63G 2.586 3.438 2.645 6 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.2it/s 0.3s\n", " all 28 34 0.00298 0.176 0.00144 0.000398\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 6/100 5.7G 2.562 3.385 2.591 6 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.7it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 7/100 5.76G 2.451 3.29 2.579 4 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.9it/s 0.3s\n", " all 28 34 0.000975 0.0882 0.000575 0.000111\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 8/100 5.83G 2.629 3.323 2.639 3 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.9s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.2it/s 0.5s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 9/100 5.92G 2.617 3.344 2.689 6 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.5it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 10/100 6.03G 2.544 3.347 2.681 5 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.6it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 11/100 6.4G 2.482 3.302 2.661 6 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.9it/s 0.4s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 12/100 6.47G 2.437 3.141 2.687 5 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.5it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 13/100 6.54G 2.44 3.227 2.635 8 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.6it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 14/100 6.6G 2.565 3.3 2.665 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.5it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 15/100 6.67G 2.443 3.195 2.642 7 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.0it/s 0.3s\n", " all 28 34 0 0 0 0\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 16/100 6.73G 2.483 3.287 2.6 2 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.000615 0.147 0.000695 0.000277\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 17/100 6.82G 2.449 3.14 2.584 7 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.7it/s 0.3s\n", " all 28 34 0.000833 0.0588 0.000395 0.000134\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 18/100 6.93G 2.388 3.117 2.551 8 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.000833 0.206 0.00127 0.000443\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 19/100 7.05G 2.421 3.204 2.591 4 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 3.8it/s 0.5s\n", " all 28 34 0.00143 0.353 0.0012 0.0003\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 20/100 7.16G 2.407 3.12 2.594 5 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.00202 0.265 0.00148 0.000416\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 21/100 7.27G 2.415 3.237 2.607 5 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.00183 0.0882 0.000771 0.000244\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 22/100 7.4G 2.359 3.13 2.61 7 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.2it/s 0.4s\n", " all 28 34 0.000913 0.176 0.000459 7.31e-05\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 23/100 5.52G 2.431 3.081 2.569 4 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 3.9it/s 0.5s\n", " all 28 34 0.00168 0.176 0.00132 0.000343\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 24/100 5.52G 2.314 3.081 2.501 10 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.8it/s 0.4s\n", " all 28 34 0.00133 0.235 0.000686 0.000151\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 25/100 5.52G 2.312 2.903 2.473 6 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.00335 0.441 0.00248 0.000695\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 26/100 5.53G 2.351 3.108 2.549 4 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.1it/s 0.5s\n", " all 28 34 0.0122 0.147 0.00656 0.00165\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 27/100 5.6G 2.356 3.077 2.538 7 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.6it/s 0.4s\n", " all 28 34 0.00846 0.176 0.00744 0.00181\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 28/100 5.66G 2.234 3.084 2.437 3 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.0472 0.147 0.0143 0.00328\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 29/100 5.79G 2.363 3.002 2.543 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.0134 0.0882 0.00607 0.00145\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 30/100 5.9G 2.171 2.878 2.424 7 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.6it/s 0.4s\n", " all 28 34 0.0217 0.0882 0.00572 0.00131\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 31/100 6.01G 2.194 2.95 2.433 5 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.00819 0.0588 0.00487 0.00118\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 32/100 6.12G 2.238 2.938 2.491 4 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.00592 0.176 0.00623 0.00162\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 33/100 6.25G 2.228 2.882 2.414 6 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.3it/s 0.4s\n", " all 28 34 0.0104 0.118 0.00566 0.00157\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 34/100 6.36G 2.201 2.93 2.432 6 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.0it/s 0.5s\n", " all 28 34 0.0379 0.0882 0.0109 0.00299\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 35/100 6.47G 2.237 2.786 2.441 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.0it/s 0.4s\n", " all 28 34 0.15 0.118 0.0435 0.0108\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 36/100 6.58G 2.283 2.898 2.461 2 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.3it/s 0.4s\n", " all 28 34 0.143 0.147 0.0449 0.00851\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 37/100 6.71G 2.151 2.784 2.354 4 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.0585 0.206 0.0287 0.00652\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 38/100 6.82G 2.101 2.773 2.31 4 640: 100% ━━━━━━━━━━━━ 8/8 2.7it/s 2.9s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.1it/s 0.3s\n", " all 28 34 0.05 0.176 0.0466 0.0107\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 39/100 6.95G 2.147 2.734 2.386 4 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.2it/s 0.4s\n", " all 28 34 0.0535 0.0882 0.027 0.0054\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 40/100 7.08G 2.242 2.676 2.448 4 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.0336 0.176 0.021 0.00496\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 41/100 7.17G 2.136 2.606 2.336 7 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.0it/s 0.5s\n", " all 28 34 0.0303 0.0882 0.0165 0.00345\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 42/100 7.3G 2.137 2.507 2.309 9 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.0433 0.147 0.0275 0.00795\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 43/100 7.43G 2.055 2.49 2.286 6 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.2it/s 0.4s\n", " all 28 34 0.0733 0.147 0.0274 0.00706\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 44/100 5.56G 2.138 2.574 2.271 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.0602 0.0882 0.0266 0.00577\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 45/100 5.56G 2.042 2.473 2.28 6 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 3.8it/s 0.5s\n", " all 28 34 0.0271 0.118 0.0163 0.00478\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 46/100 5.56G 2.006 2.464 2.263 5 640: 100% ━━━━━━━━━━━━ 8/8 3.2it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.022 0.118 0.0164 0.00397\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 47/100 5.56G 2.061 2.461 2.281 5 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.8it/s 0.3s\n", " all 28 34 0.195 0.0294 0.0256 0.00604\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 48/100 5.6G 2.07 2.421 2.223 8 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.409 0.0294 0.0228 0.00776\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 49/100 5.68G 2.043 2.526 2.265 8 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.1it/s 0.5s\n", " all 28 34 0.0484 0.0588 0.0349 0.0103\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 50/100 5.79G 2.022 2.551 2.229 8 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.0609 0.0882 0.0276 0.00583\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 51/100 5.9G 2.057 2.537 2.224 11 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.216 0.0294 0.0216 0.00498\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 52/100 6.01G 1.875 2.346 2.155 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.5it/s 0.4s\n", " all 28 34 0.16 0.0294 0.0184 0.00368\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 53/100 6.12G 2.055 2.549 2.259 6 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.587 0.0294 0.0299 0.00622\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 54/100 6.23G 2.072 2.465 2.275 10 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.0151 0.0882 0.00524 0.00141\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 55/100 6.38G 2.009 2.411 2.231 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.0891 0.0294 0.00706 0.00118\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 56/100 6.49G 1.909 2.361 2.161 6 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.4it/s 0.5s\n", " all 28 34 0.0577 0.0588 0.0103 0.00279\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 57/100 6.6G 1.911 2.374 2.168 3 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.41 0.0588 0.0503 0.0135\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 58/100 6.73G 2 2.274 2.184 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.437 0.0588 0.0707 0.0161\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 59/100 6.84G 1.958 2.206 2.169 9 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.7it/s 0.4s\n", " all 28 34 0.233 0.176 0.113 0.0307\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 60/100 6.95G 1.909 2.126 2.118 5 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.9s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.0it/s 0.5s\n", " all 28 34 0.168 0.185 0.0994 0.0227\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 61/100 7.08G 1.898 2.182 2.108 9 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.168 0.206 0.109 0.0237\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 62/100 7.19G 1.998 2.245 2.222 5 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.0941 0.235 0.0816 0.0214\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 63/100 7.3G 1.897 2.12 2.182 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.9it/s 0.4s\n", " all 28 34 0.194 0.118 0.0802 0.0236\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 64/100 7.43G 1.949 2.176 2.177 4 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.14 0.0882 0.0746 0.0217\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 65/100 5.58G 1.939 2.216 2.162 4 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.107 0.0882 0.0658 0.02\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 66/100 5.58G 1.813 2.114 2.048 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.3it/s 0.4s\n", " all 28 34 0.129 0.176 0.0647 0.0216\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 67/100 5.58G 1.938 2.099 2.113 3 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.9it/s 0.4s\n", " all 28 34 0.0881 0.0939 0.0691 0.0236\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 68/100 5.58G 1.785 2.005 2.036 9 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.4it/s 0.3s\n", " all 28 34 0.101 0.294 0.0751 0.0196\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 69/100 5.61G 1.762 1.932 1.987 2 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.0885 0.235 0.0639 0.0175\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 70/100 5.67G 1.72 2.091 2.028 4 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.0896 0.206 0.0621 0.0188\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 71/100 5.78G 1.674 1.884 1.94 4 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.1it/s 0.5s\n", " all 28 34 0.101 0.0882 0.0464 0.0133\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 72/100 5.9G 1.795 1.99 2.042 5 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 6.4it/s 0.3s\n", " all 28 34 0.0671 0.206 0.0494 0.0144\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 73/100 6.02G 1.82 1.889 2.001 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.5s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.7it/s 0.4s\n", " all 28 34 0.119 0.0882 0.0531 0.0136\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 74/100 6.13G 1.716 1.899 2.006 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.6it/s 0.4s\n", " all 28 34 0.172 0.294 0.0883 0.0202\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 75/100 6.24G 1.712 1.924 1.968 3 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.8it/s 0.4s\n", " all 28 34 0.166 0.294 0.089 0.0272\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 76/100 6.37G 1.776 1.92 2.033 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.161 0.265 0.119 0.0404\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 77/100 6.48G 1.705 1.867 1.963 4 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.188 0.235 0.122 0.0444\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 78/100 6.6G 1.733 1.86 1.941 9 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.9s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.4it/s 0.5s\n", " all 28 34 0.148 0.324 0.125 0.0468\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 79/100 6.74G 1.698 1.767 1.898 11 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.145 0.324 0.11 0.0411\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 80/100 6.84G 1.805 1.882 2.025 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.201 0.235 0.102 0.0347\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 81/100 6.93G 1.536 1.644 1.871 3 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.1it/s 0.5s\n", " all 28 34 0.265 0.206 0.112 0.044\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 82/100 7.06G 1.633 1.741 1.884 5 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.7it/s 0.4s\n", " all 28 34 0.245 0.206 0.123 0.0469\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 83/100 7.17G 1.677 1.854 1.95 3 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.243 0.235 0.126 0.0381\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 84/100 7.28G 1.554 1.744 1.874 7 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.202 0.324 0.116 0.0343\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 85/100 7.41G 1.68 1.668 1.898 5 640: 100% ━━━━━━━━━━━━ 8/8 2.7it/s 3.0s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.229 0.294 0.111 0.0283\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 86/100 5.51G 1.587 1.61 1.863 5 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.166 0.206 0.0893 0.0232\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 87/100 5.51G 1.708 1.737 1.943 8 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.183 0.206 0.0854 0.0219\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 88/100 5.51G 1.545 1.575 1.813 7 640: 100% ━━━━━━━━━━━━ 8/8 2.9it/s 2.8s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.6it/s 0.4s\n", " all 28 34 0.169 0.294 0.095 0.025\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 89/100 5.53G 1.628 1.665 1.863 8 640: 100% ━━━━━━━━━━━━ 8/8 2.8it/s 2.9s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.3it/s 0.4s\n", " all 28 34 0.13 0.235 0.0757 0.0223\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 90/100 5.59G 1.594 1.668 1.85 7 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.5it/s 0.4s\n", " all 28 34 0.123 0.206 0.0838 0.0234\n", "Closing dataloader mosaic\n", "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 91/100 5.68G 1.627 1.747 1.94 3 640: 100% ━━━━━━━━━━━━ 8/8 2.3it/s 3.4s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.0it/s 0.5s\n", " all 28 34 0.127 0.176 0.0775 0.022\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 92/100 5.79G 1.606 1.819 1.91 2 640: 100% ━━━━━━━━━━━━ 8/8 2.7it/s 2.9s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.138 0.235 0.0879 0.0231\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 93/100 5.9G 1.632 1.713 1.906 4 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.149 0.235 0.0937 0.0254\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 94/100 6.01G 1.562 1.557 1.877 2 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.7it/s 0.4s\n", " all 28 34 0.103 0.206 0.0778 0.0219\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 95/100 6.13G 1.575 1.487 1.878 2 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 3.9it/s 0.5s\n", " all 28 34 0.104 0.176 0.0667 0.0217\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 96/100 6.25G 1.554 1.518 1.802 4 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.19 0.118 0.0714 0.021\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 97/100 6.35G 1.602 1.478 1.913 2 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.216 0.118 0.0763 0.0208\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 98/100 6.46G 1.468 1.4 1.761 2 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.4it/s 0.4s\n", " all 28 34 0.246 0.147 0.0777 0.0238\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 99/100 6.57G 1.409 1.356 1.77 3 640: 100% ━━━━━━━━━━━━ 8/8 3.0it/s 2.7s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.4it/s 0.5s\n", " all 28 34 0.246 0.147 0.0824 0.0247\n", "\n", " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", "\u001b[K 100/100 6.7G 1.411 1.369 1.739 3 640: 100% ━━━━━━━━━━━━ 8/8 3.1it/s 2.6s\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 5.6it/s 0.4s\n", " all 28 34 0.256 0.147 0.0916 0.0261\n", "\n", "100 epochs completed in 0.113 hours.\n", "Optimizer stripped from /content/runs/detect/train/weights/last.pt, 40.5MB\n", "Optimizer stripped from /content/runs/detect/train/weights/best.pt, 40.5MB\n", "\n", "Validating /content/runs/detect/train/weights/best.pt...\n", "Ultralytics 8.3.240 🚀 Python-3.12.12 torch-2.9.0+cu126 CUDA:0 (Tesla T4, 15095MiB)\n", "YOLO11m summary (fused): 125 layers, 20,030,803 parameters, 0 gradients, 67.6 GFLOPs\n", "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 4.2it/s 0.5s\n", " all 28 34 0.245 0.206 0.121 0.0459\n", "Speed: 0.2ms preprocess, 10.5ms inference, 0.0ms loss, 1.9ms postprocess per image\n", "Results saved to \u001b[1m/content/runs/detect/train\u001b[0m\n" ] }, { "data": { "text/plain": [ "ultralytics.utils.metrics.DetMetrics object with attributes:\n", "\n", "ap_class_index: array([0])\n", "box: ultralytics.utils.metrics.Metric object\n", "confusion_matrix: \n", "curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']\n", "curves_results: [[array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 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0, 0, 0,\n", " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]), 'Confidence', 'Recall']]\n", "fitness: np.float64(0.04594862947277446)\n", "keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']\n", "maps: array([ 0.045949])\n", "names: {0: 'damage'}\n", "nt_per_class: array([34])\n", "nt_per_image: array([28])\n", "results_dict: {'metrics/precision(B)': 0.24521170567543935, 'metrics/recall(B)': 0.20588235294117646, 'metrics/mAP50(B)': 0.12083490375686483, 'metrics/mAP50-95(B)': 0.04594862947277446, 'fitness': 0.04594862947277446}\n", "save_dir: PosixPath('/content/runs/detect/train')\n", "speed: {'preprocess': 0.17334264285701856, 'inference': 10.47289496428253, 'loss': 0.006769428568174719, 'postprocess': 1.8654516785748652}\n", "stats: {'tp': [], 'conf': [], 'pred_cls': [], 'target_cls': [], 'target_img': []}\n", "task: 'detect'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from ultralytics import YOLO\n", "\n", "model = YOLO(\"yolo11m.pt\")\n", "\n", "model.train(\n", " data=\"/content/drive/MyDrive/custom_data/dataset_custom.yaml\",\n", " imgsz=640,\n", " batch=10,\n", " epochs=100,\n", " device=0\n", ")\n" ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 0 }