train_yolov8_on_custom_dataset.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3C3EO_2zNChu"
      },
      "source": [
        "## Install YOLOv8"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tdSMcABDNKW-",
        "outputId": "fe69dddc-7b3a-4a47-c794-d8a828b4100d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Ultralytics YOLOv8.2.31 🚀 Python-3.10.12 torch-2.3.0+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Setup complete ✅ (2 CPUs, 12.7 GB RAM, 30.1/78.2 GB disk)\n"
          ]
        }
      ],
      "source": [
        "# Pip install method (recommended)\n",
        "\n",
        "!pip install ultralytics\n",
        "\n",
        "from IPython import display\n",
        "display.clear_output()\n",
        "\n",
        "import ultralytics\n",
        "ultralytics.checks()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K33S7zlkQku0"
      },
      "source": [
        "```\n",
        "yolo task=detect    mode=train    model=yolov8n.yaml      args...\n",
        "          classify       predict        yolov8n-cls.yaml  args...\n",
        "          segment        val            yolov8n-seg.yaml  args...\n",
        "                         export         yolov8n.pt        format=onnx  args...\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CjpPg4mGKc1v",
        "outputId": "80690d9c-33c3-4064-e07e-f9585c367dc6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "HOME = os.getcwd()\n",
        "print(HOME)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VOEYrlBoP9-E"
      },
      "outputs": [],
      "source": [
        "from ultralytics import YOLO\n",
        "\n",
        "from IPython.display import display, Image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4wkcGq0by48Y",
        "outputId": "ea833ed1-4690-4394-c238-50c7c8750f3a"
      },
      "outputs": [],
      "source": [
        "!rm -r /content/Food-Detection-8/*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BSd93ZJzZZKt",
        "outputId": "38b2ee2c-5322-4448-be94-f2c736066a54"
      },
      "outputs": [],
      "source": [
        "!mkdir {HOME}/datasets\n",
        "%cd {HOME}/datasets\n",
        "\n",
        "!pip install roboflow\n",
        "\n",
        "from roboflow import Roboflow\n",
        "rf = Roboflow(api_key=\"AZsbGTvZTVdor7Yff96L\")\n",
        "project = rf.workspace(\"food-hofna\").project(\"food-detection-fme3o\")\n",
        "version = project.version(8)\n",
        "dataset = version.download(\"yolov8\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YUjFBKKqXa-u"
      },
      "source": [
        "## Custom Training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QAJD9crK4yYH"
      },
      "outputs": [],
      "source": [
        "!rm -r /content/runs*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D2YkphuiaE7_",
        "outputId": "ad635f68-a813-47dc-84c2-f48a94b48948"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
            "Ultralytics YOLOv8.2.31 🚀 Python-3.10.12 torch-2.3.0+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
            "\u001b[34m\u001b[1mengine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8x.pt, data=/content/datasets/Food-Detection-8/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=train, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, 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, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train\n",
            "Overriding model.yaml nc=80 with nc=10\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1      2320  ultralytics.nn.modules.conv.Conv             [3, 80, 3, 2]                 \n",
            "  1                  -1  1    115520  ultralytics.nn.modules.conv.Conv             [80, 160, 3, 2]               \n",
            "  2                  -1  3    436800  ultralytics.nn.modules.block.C2f             [160, 160, 3, True]           \n",
            "  3                  -1  1    461440  ultralytics.nn.modules.conv.Conv             [160, 320, 3, 2]              \n",
            "  4                  -1  6   3281920  ultralytics.nn.modules.block.C2f             [320, 320, 6, True]           \n",
            "  5                  -1  1   1844480  ultralytics.nn.modules.conv.Conv             [320, 640, 3, 2]              \n",
            "  6                  -1  6  13117440  ultralytics.nn.modules.block.C2f             [640, 640, 6, True]           \n",
            "  7                  -1  1   3687680  ultralytics.nn.modules.conv.Conv             [640, 640, 3, 2]              \n",
            "  8                  -1  3   6969600  ultralytics.nn.modules.block.C2f             [640, 640, 3, True]           \n",
            "  9                  -1  1   1025920  ultralytics.nn.modules.block.SPPF            [640, 640, 5]                 \n",
            " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 12                  -1  3   7379200  ultralytics.nn.modules.block.C2f             [1280, 640, 3]                \n",
            " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 15                  -1  3   1948800  ultralytics.nn.modules.block.C2f             [960, 320, 3]                 \n",
            " 16                  -1  1    922240  ultralytics.nn.modules.conv.Conv             [320, 320, 3, 2]              \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 18                  -1  3   7174400  ultralytics.nn.modules.block.C2f             [960, 640, 3]                 \n",
            " 19                  -1  1   3687680  ultralytics.nn.modules.conv.Conv             [640, 640, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 21                  -1  3   7379200  ultralytics.nn.modules.block.C2f             [1280, 640, 3]                \n",
            " 22        [15, 18, 21]  1   8727598  ultralytics.nn.modules.head.Detect           [10, [320, 640, 640]]         \n",
            "Model summary: 365 layers, 68162238 parameters, 68162222 gradients, 258.2 GFLOPs\n",
            "\n",
            "Transferred 589/595 items from pretrained weights\n",
            "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/detect/train', view at http://localhost:6006/\n",
            "Freezing layer 'model.22.dfl.conv.weight'\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)\n",
            "  return F.conv2d(input, weight, bias, self.stride,\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/datasets/Food-Detection-8/train/labels.cache... 509 images, 0 backgrounds, 0 corrupt: 100% 509/509 [00:00<?, ?it/s]\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), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "/usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
            "  self.pid = os.fork()\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/datasets/Food-Detection-8/valid/labels.cache... 47 images, 0 backgrounds, 0 corrupt: 100% 47/47 [00:00<?, ?it/s]\n",
            "Plotting labels to 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=0.000714, momentum=0.9) with parameter groups 97 weight(decay=0.0), 104 weight(decay=0.0005), 103 bias(decay=0.0)\n",
            "\u001b[34m\u001b[1mTensorBoard: \u001b[0mmodel graph visualization added ✅\n",
            "Image sizes 640 train, 640 val\n",
            "Using 2 dataloader workers\n",
            "Logging results to \u001b[1mruns/detect/train\u001b[0m\n",
            "Starting training for 100 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      1/100      14.4G     0.8911      2.675      1.415         59        640: 100% 32/32 [00:38<00:00,  1.21s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.19it/s]\n",
            "                   all         47         96      0.392      0.572      0.407      0.286\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      2/100      14.3G     0.9553      1.891      1.416         59        640: 100% 32/32 [00:38<00:00,  1.20s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                   all         47         96        0.4      0.161     0.0823     0.0582\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      3/100      14.3G      1.092      1.976      1.517         60        640: 100% 32/32 [00:40<00:00,  1.25s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                   all         47         96     0.0127      0.345     0.0105    0.00366\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      4/100        14G      1.131      1.921      1.509         59        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:02<00:00,  1.03s/it]\n",
            "                   all         47         96      0.595        0.1      0.175       0.12\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      5/100        14G      1.109      1.792      1.494         37        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.08it/s]\n",
            "                   all         47         96      0.328      0.344      0.179      0.102\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      6/100        14G      1.072      1.596       1.49         33        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.395      0.281      0.288      0.171\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      7/100        14G      1.045      1.649      1.451         38        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.523      0.471       0.46      0.349\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      8/100      13.9G      1.064      1.541      1.466         46        640: 100% 32/32 [00:41<00:00,  1.30s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                   all         47         96      0.269      0.347      0.251      0.193\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      9/100        14G      1.047      1.548      1.463         40        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.11it/s]\n",
            "                   all         47         96      0.382      0.392      0.317       0.19\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     10/100      13.9G     0.9515      1.474      1.369         45        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                   all         47         96      0.667      0.593      0.653      0.418\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     11/100      13.9G     0.9419      1.397      1.383         50        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.467      0.641      0.551      0.417\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     12/100      13.9G      0.966      1.479      1.407         55        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.642      0.549      0.636       0.48\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     13/100      13.9G     0.9588      1.308      1.389         72        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96      0.793      0.446      0.673      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     14/100        14G     0.9004      1.256      1.333         56        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.02it/s]\n",
            "                   all         47         96       0.67       0.63      0.716      0.515\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     15/100      13.9G     0.8914      1.224      1.342         80        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                   all         47         96      0.601       0.66      0.694      0.554\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     16/100      13.9G     0.8405      1.174      1.287         65        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.02it/s]\n",
            "                   all         47         96      0.664      0.702      0.753      0.593\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     17/100        14G      0.853       1.14      1.301         59        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                   all         47         96      0.657      0.596      0.651      0.531\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     18/100      13.9G     0.8219      1.072      1.272         46        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.484      0.682      0.665      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     19/100      13.9G     0.7962      1.052      1.246         57        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                   all         47         96      0.881      0.645      0.818      0.649\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     20/100      13.9G     0.7898       1.04       1.26         45        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.02it/s]\n",
            "                   all         47         96      0.796      0.704      0.783      0.601\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     21/100      13.9G     0.8266      1.038      1.293         47        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.10it/s]\n",
            "                   all         47         96      0.665      0.808      0.784      0.638\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     22/100      13.9G     0.7679     0.9893      1.247         65        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                   all         47         96      0.699      0.696      0.777      0.636\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     23/100      13.9G     0.7587     0.9659      1.248         43        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                   all         47         96      0.829      0.725      0.822      0.686\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     24/100        14G     0.7442     0.9386      1.236         38        640: 100% 32/32 [00:41<00:00,  1.30s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.861      0.675      0.761      0.641\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     25/100      13.9G     0.7582     0.9056      1.238         45        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.10it/s]\n",
            "                   all         47         96      0.805      0.775      0.819      0.665\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     26/100      13.9G      0.766     0.9071      1.253         58        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.811       0.79      0.859      0.695\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     27/100        14G     0.7124     0.8801      1.198         58        640: 100% 32/32 [00:41<00:00,  1.31s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.704      0.751      0.795      0.671\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     28/100      13.9G     0.7081     0.8921      1.206         62        640: 100% 32/32 [00:40<00:00,  1.26s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96      0.768       0.76       0.84      0.675\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     29/100        14G     0.7125     0.8361      1.213         36        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                   all         47         96      0.715      0.765      0.785      0.647\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     30/100      13.9G     0.7168     0.8443      1.226         49        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.05it/s]\n",
            "                   all         47         96      0.697      0.606      0.636      0.538\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     31/100      13.9G      0.699     0.8241      1.201         37        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.753      0.729      0.796      0.646\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     32/100      13.9G     0.6719     0.8185      1.202         48        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.779      0.775      0.824      0.706\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     33/100      13.9G     0.6895     0.8154      1.188         43        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.664       0.76      0.733      0.616\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     34/100      13.9G     0.6718     0.7879      1.172         49        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.03it/s]\n",
            "                   all         47         96      0.677      0.766      0.808      0.688\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     35/100        14G     0.6584     0.7478      1.158         38        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.09it/s]\n",
            "                   all         47         96       0.88      0.785      0.867      0.736\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     36/100      13.9G     0.6268     0.7214      1.146         60        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.807      0.793      0.849      0.741\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     37/100      13.9G     0.6521     0.7457       1.17         72        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.744      0.817      0.852      0.731\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     38/100      13.9G     0.6616     0.7414      1.173         57        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.19it/s]\n",
            "                   all         47         96       0.83      0.778      0.884      0.759\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     39/100      13.9G     0.6498     0.7419      1.161         55        640: 100% 32/32 [00:41<00:00,  1.30s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.12it/s]\n",
            "                   all         47         96        0.8      0.748      0.831      0.708\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     40/100      13.9G      0.627     0.7541      1.156         37        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.04it/s]\n",
            "                   all         47         96      0.729      0.784      0.843       0.73\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     41/100      13.9G     0.6052     0.6784      1.104         56        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96      0.782      0.893      0.895      0.745\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     42/100      13.9G     0.6073     0.6542      1.135         65        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.846      0.759      0.838      0.731\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     43/100      13.9G     0.6224     0.6888      1.144         51        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.11it/s]\n",
            "                   all         47         96      0.755      0.844      0.879      0.755\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     44/100      13.9G     0.6137     0.6779      1.137         62        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.839      0.697       0.82      0.718\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     45/100      13.9G     0.6236     0.6702      1.147         58        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.05it/s]\n",
            "                   all         47         96      0.772      0.847      0.862      0.736\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     46/100      13.9G     0.6109     0.6711      1.145         52        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.732      0.792      0.833      0.719\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     47/100        14G     0.6025     0.6415      1.144         57        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96      0.739      0.829      0.869      0.747\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     48/100      13.9G     0.6012     0.6481      1.119         42        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.19it/s]\n",
            "                   all         47         96      0.793      0.836      0.854      0.744\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     49/100      13.9G     0.5974     0.6401      1.121         48        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.19it/s]\n",
            "                   all         47         96      0.771      0.819      0.818      0.709\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     50/100      13.9G     0.6021     0.6213      1.126         35        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.03it/s]\n",
            "                   all         47         96      0.844      0.783      0.859      0.753\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     51/100      13.9G      0.556     0.5739      1.085         54        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96       0.88      0.802      0.863      0.764\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     52/100      13.9G      0.583     0.5897      1.099         57        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.05it/s]\n",
            "                   all         47         96      0.752      0.789      0.855      0.746\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     53/100        14G     0.5541     0.5903      1.105         69        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96      0.842      0.775      0.868      0.777\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     54/100      13.9G     0.5843     0.6227       1.13         60        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.827      0.803      0.875      0.774\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     55/100      13.9G     0.5501     0.5826      1.096         49        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.19it/s]\n",
            "                   all         47         96       0.83      0.832      0.872      0.777\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     56/100      13.9G     0.5237      0.532      1.075         55        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.871      0.775      0.881      0.787\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     57/100        14G     0.5529      0.542      1.091         46        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.803      0.819      0.884      0.758\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     58/100        14G     0.5283     0.5279      1.072         43        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.09it/s]\n",
            "                   all         47         96      0.807      0.805      0.845       0.76\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     59/100        14G     0.5302     0.5291      1.077         49        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.818      0.777      0.838      0.739\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     60/100        14G     0.5345     0.5182      1.072         55        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.09it/s]\n",
            "                   all         47         96      0.816      0.832      0.847      0.759\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     61/100        14G      0.525     0.4867      1.081         52        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.04it/s]\n",
            "                   all         47         96      0.857      0.885      0.924       0.82\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     62/100      13.9G     0.5353     0.5212      1.089         49        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.10it/s]\n",
            "                   all         47         96      0.834      0.813      0.891      0.789\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     63/100      13.9G     0.5209     0.5117      1.083         54        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.872      0.824      0.905      0.773\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     64/100      13.9G     0.5239     0.5165      1.082         46        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                   all         47         96      0.751        0.8       0.84      0.722\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     65/100      13.9G     0.4995     0.4947      1.049         29        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                   all         47         96       0.86      0.836      0.887      0.779\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     66/100        14G     0.5173     0.4873      1.084         41        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.845      0.843      0.903      0.774\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     67/100      13.9G     0.4974     0.4744      1.061         49        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96       0.77      0.799      0.815      0.749\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     68/100      13.9G     0.4797     0.4619      1.034         46        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.886      0.821      0.862      0.766\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     69/100      13.9G     0.4979     0.4795      1.055         38        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.08it/s]\n",
            "                   all         47         96      0.865      0.782       0.88       0.79\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     70/100      13.9G     0.5015      0.459      1.068         42        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96      0.829      0.811      0.866      0.773\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     71/100      13.9G     0.4818     0.4724      1.059         50        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96       0.85      0.835      0.897      0.772\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     72/100        14G     0.4634     0.4423      1.031         42        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.03it/s]\n",
            "                   all         47         96      0.779      0.894      0.903      0.795\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     73/100        14G     0.4612     0.4345      1.047         54        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96       0.78      0.861      0.913      0.785\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     74/100        14G      0.465     0.4208      1.037         55        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.05it/s]\n",
            "                   all         47         96      0.845      0.884      0.914      0.808\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     75/100        14G     0.4757     0.4361      1.049         43        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96      0.863      0.874      0.918      0.801\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     76/100        14G     0.4591     0.4193      1.036         31        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.901      0.817      0.902      0.801\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     77/100      13.9G     0.4769     0.4263      1.048         48        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                   all         47         96      0.831      0.843      0.904      0.783\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     78/100        14G     0.4472     0.4181      1.031         54        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                   all         47         96      0.844      0.884      0.912       0.78\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     79/100      13.9G     0.4549     0.3918      1.029         67        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.21it/s]\n",
            "                   all         47         96      0.847      0.865       0.91      0.833\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     80/100        14G     0.4583     0.4164      1.035         51        640: 100% 32/32 [00:41<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.12it/s]\n",
            "                   all         47         96      0.838      0.878      0.908       0.82\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     81/100        14G     0.4404     0.3981      1.033         67        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96       0.88      0.853      0.891      0.802\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     82/100      13.9G     0.4374     0.4031      1.026         48        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.835      0.884      0.886      0.796\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     83/100      13.9G      0.433     0.3871      1.037         53        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.22it/s]\n",
            "                   all         47         96      0.829        0.9      0.906      0.822\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     84/100      13.9G     0.4191     0.3886      1.013         61        640: 100% 32/32 [00:41<00:00,  1.29s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.05it/s]\n",
            "                   all         47         96      0.858      0.897       0.92      0.826\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     85/100      13.9G     0.4272     0.3836      1.017         56        640: 100% 32/32 [00:40<00:00,  1.26s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                   all         47         96      0.896      0.839      0.926      0.816\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     86/100        14G     0.4282     0.3789      1.032         39        640: 100% 32/32 [00:41<00:00,  1.30s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                   all         47         96      0.874      0.848      0.912      0.803\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     87/100      13.9G     0.4162     0.3614      1.006         69        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.05it/s]\n",
            "                   all         47         96      0.857      0.886      0.913      0.814\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     88/100        14G     0.4173     0.3509      1.001         57        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.886       0.84      0.921      0.817\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     89/100      13.9G     0.4141     0.3595       1.01         46        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.887      0.848      0.912      0.822\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     90/100        14G     0.4039     0.3481     0.9988         58        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                   all         47         96      0.819      0.901      0.909       0.82\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), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "/usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
            "  self.pid = os.fork()\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     91/100        14G     0.3014     0.2763     0.9036         21        640: 100% 32/32 [00:42<00:00,  1.32s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                   all         47         96      0.824      0.899      0.877      0.794\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     92/100      13.9G     0.2954     0.2659     0.8894         20        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.02it/s]\n",
            "                   all         47         96      0.811       0.91      0.881       0.79\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     93/100      13.9G     0.2878     0.2546     0.8779         36        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                   all         47         96      0.839      0.888      0.856      0.778\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     94/100      13.9G     0.2925     0.2507     0.8901         26        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.10it/s]\n",
            "                   all         47         96      0.832      0.899      0.897      0.814\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     95/100      13.9G     0.2703     0.2401     0.8742         21        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96      0.837      0.883      0.895      0.817\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     96/100      13.9G     0.2716     0.2323     0.8702         40        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                   all         47         96      0.849      0.889      0.894      0.809\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     97/100      13.9G     0.2701     0.2259     0.8801         20        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                   all         47         96      0.845        0.9      0.875      0.784\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     98/100      13.9G     0.2754     0.2342     0.8822         27        640: 100% 32/32 [00:40<00:00,  1.27s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                   all         47         96      0.852      0.878      0.867      0.778\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     99/100      13.9G     0.2638     0.2311      0.878         21        640: 100% 32/32 [00:40<00:00,  1.28s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.07it/s]\n",
            "                   all         47         96      0.884      0.862      0.891      0.803\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "    100/100      13.9G       0.26      0.229     0.8687         27        640: 100% 32/32 [00:40<00:00,  1.26s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                   all         47         96      0.892      0.865      0.889      0.801\n",
            "\n",
            "100 epochs completed in 1.348 hours.\n",
            "Optimizer stripped from runs/detect/train/weights/last.pt, 136.7MB\n",
            "Optimizer stripped from runs/detect/train/weights/best.pt, 136.7MB\n",
            "\n",
            "Validating runs/detect/train/weights/best.pt...\n",
            "Ultralytics YOLOv8.2.31 🚀 Python-3.10.12 torch-2.3.0+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 268 layers, 68133198 parameters, 0 gradients, 257.4 GFLOPs\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                   all         47         96      0.847      0.865      0.909      0.833\n",
            "                banana          2          5       0.74      0.576      0.632      0.416\n",
            "           black beans          4          4       0.93          1      0.995      0.995\n",
            "grilled chicken breast          8         25      0.882        0.8      0.903      0.791\n",
            "                  milk          5         10          1      0.794      0.978      0.874\n",
            "          orange juice          3          4       0.91          1      0.995      0.938\n",
            "                 pizza          8         30      0.858      0.733       0.79      0.691\n",
            "                potato          2          2      0.461          1      0.995      0.995\n",
            "                 salad          7          7      0.852          1      0.995      0.981\n",
            "             spaghetti          5          5      0.921          1      0.995      0.888\n",
            "            white rice          3          4      0.921       0.75      0.816      0.763\n",
            "Speed: 0.2ms preprocess, 28.6ms inference, 0.0ms loss, 1.8ms postprocess per image\n",
            "Results saved to \u001b[1mruns/detect/train\u001b[0m\n",
            "💡 Learn more at https://docs.ultralytics.com/modes/train\n"
          ]
        }
      ],
      "source": [
        "%cd {HOME}\n",
        "\n",
        "!yolo mode=train model=yolov8x.pt data={dataset.location}/data.yaml epochs=100 imgsz=640"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1MScstfHhArr",
        "outputId": "3ab863b0-7f92-48b3-e1f5-6a6b212828a3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "total 1768\n",
            "drwxr-xr-x 3 root root    4096 Jan 18 15:59 .\n",
            "drwxr-xr-x 4 root root    4096 Jan 18 15:58 ..\n",
            "-rw-r--r-- 1 root root    1366 Jan 18 15:58 args.yaml\n",
            "-rw-r--r-- 1 root root 1779440 Jan 18 16:35 events.out.tfevents.1674057540.4c563cd85f17.2913.0\n",
            "-rw-r--r-- 1 root root    9792 Jan 18 16:35 results.csv\n",
            "drwxr-xr-x 2 root root    4096 Jan 18 15:59 weights\n"
          ]
        }
      ],
      "source": [
        "!ls -la {HOME}/runs/detect/train/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U_ZOpnH9scaU",
        "outputId": "8d1ef406-7dc2-4b71-fbf6-a0b957596ee1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "                  epoch,             train/loss,  metrics/accuracy_top1,  metrics/accuracy_top5,               val/loss,                 lr/pg0,                 lr/pg1,                 lr/pg2\n",
            "                      0,                0.26657,                 0.7242,                      1,                0.69499,                    0.1,                    0.1,                    0.1\n",
            "                      1,                0.17981,                0.83452,                      1,                0.41385,                    0.1,                    0.1,                    0.1\n",
            "                      2,                0.15695,                0.86477,                      1,                0.39399,                0.09802,                0.09802,                0.09802\n",
            "                      3,                0.14038,                0.89146,                      1,                0.32446,                0.09604,                0.09604,                0.09604\n",
            "                      4,                0.13061,                0.89146,                      1,                0.31535,                0.09406,                0.09406,                0.09406\n",
            "                      5,                0.11974,                0.90391,                      1,                0.22824,                0.09208,                0.09208,                0.09208\n",
            "                      6,                0.11335,                0.90925,                      1,                 0.2659,                 0.0901,                 0.0901,                 0.0901\n",
            "                      7,                0.10687,                0.92349,                      1,                0.23045,                0.08812,                0.08812,                0.08812\n",
            "                      8,                0.09837,                0.93772,                      1,                0.20348,                0.08614,                0.08614,                0.08614\n"
          ]
        }
      ],
      "source": [
        "!cat {HOME}/runs/classify/train/results.csv | head -10"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6ODk1VTlevxn"
      },
      "source": [
        "## Validate Custom Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YpyuwrNlXc1P",
        "outputId": "31ff74f6-a518-44ee-b885-5761a8d98f2a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
            "Ultralytics YOLOv8.0.9 🚀 Python-3.8.10 torch-1.13.1+cu116 CUDA:0 (Tesla T4, 15110MiB)\n",
            "Fusing layers... \n",
            "YOLOv8n-cls summary: 73 layers, 1440004 parameters, 0 gradients, 3.3 GFLOPs\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mRandomResizedCrop(p=1.0, height=640, width=640, scale=(0.08, 1.0), ratio=(0.75, 1.3333333333333333), interpolation=1), HorizontalFlip(p=0.5), ColorJitter(p=0.5, brightness=[0.6, 1.4], contrast=[0.6, 1.4], saturation=[0.6, 1.4], hue=[0, 0]), Normalize(p=1.0, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225), max_pixel_value=255.0), ToTensorV2(always_apply=True, p=1.0, transpose_mask=False)\n",
            "               classes   top1_acc   top5_acc: 100% 36/36 [00:08<00:00,  4.47it/s]\n",
            "                   all      0.726          1\n",
            "Speed: 0.4ms pre-process, 2.6ms inference, 0.0ms loss, 0.0ms post-process per image\n"
          ]
        }
      ],
      "source": [
        "%cd {HOME}\n",
        "\n",
        "!yolo task=classify mode=val model={HOME}/runs/classify/train/weights/best.pt data={dataset.location}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i4eASbcWkQBq"
      },
      "source": [
        "## Inference with Custom Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wjc1ctZykYuf",
        "outputId": "13d04608-36a5-48ce-922a-6ba07b63bf21"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
            "Ultralytics YOLOv8.0.9 🚀 Python-3.8.10 torch-1.13.1+cu116 CUDA:0 (Tesla T4, 15110MiB)\n",
            "Fusing layers... \n",
            "YOLOv8n-cls summary: 73 layers, 1440004 parameters, 0 gradients, 3.3 GFLOPs\n",
            "image 1/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e18cfd23-1d0a-11ec-87d5-d8c4975e38aa_jpg.rf.175dccdf3479ad6a73213197efe00527.jpg: 128x128 overripe 0.40, ripe 0.23, rotten 0.18, unripe 0.18, 5.0ms\n",
            "image 2/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e1a4d2b8-1d0a-11ec-af1f-d8c4975e38aa_jpg.rf.49b2874813b9606a2e643b694212cfc1.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 3/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e1ae5b43-1d0a-11ec-80fd-d8c4975e38aa_jpg.rf.e3757cdfe9a0f7a6a659b6e6858e3a2a.jpg: 128x128 overripe 0.43, ripe 0.21, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 4/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e1de067f-1d0a-11ec-bae6-d8c4975e38aa_jpg.rf.1ab7aa2244f9fe003f316216283f5844.jpg: 128x128 overripe 0.42, ripe 0.21, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 5/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e1fd0281-1d0a-11ec-801c-d8c4975e38aa_jpg.rf.cdfd103ba1477ff7acd004cf2f6cdef3.jpg: 128x128 overripe 0.42, ripe 0.22, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 6/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e204290c-1d0a-11ec-8719-d8c4975e38aa_jpg.rf.66504f7c1b12b267c49208a2cd4ee57e.jpg: 128x128 overripe 0.42, ripe 0.22, rotten 0.18, unripe 0.18, 3.1ms\n",
            "image 7/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e21275f0-1d0a-11ec-8c2f-d8c4975e38aa_jpg.rf.9353241561589afe3de6c16a5740d29b.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.17, 3.2ms\n",
            "image 8/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e21e6205-1d0a-11ec-bd57-d8c4975e38aa_jpg.rf.fe3c37639d3e65e2dd51812b7554b9f0.jpg: 128x128 overripe 0.46, rotten 0.18, ripe 0.18, unripe 0.18, 4.9ms\n",
            "image 9/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e2958c9d-1d0a-11ec-afe5-d8c4975e38aa_jpg.rf.d7dbcbbf0e1f981a4d27d4d06a427b06.jpg: 128x128 overripe 0.46, ripe 0.19, rotten 0.18, unripe 0.18, 3.6ms\n",
            "image 10/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e2d848d4-1d0a-11ec-bd61-d8c4975e38aa_jpg.rf.36f4a094634118b0d416ac22e773f08b.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 11/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e2edbc4e-1d0a-11ec-bdbf-d8c4975e38aa_jpg.rf.6ff3f455acff4918e9d76e7f1f2ead10.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 12/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e313dec4-1d0a-11ec-90ca-d8c4975e38aa_jpg.rf.032be875f5d10ee55e0a401d34bcfd42.jpg: 128x128 overripe 0.48, ripe 0.17, rotten 0.17, unripe 0.17, 3.3ms\n",
            "image 13/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e3248de5-1d0a-11ec-870e-d8c4975e38aa_jpg.rf.29f241fd189e276ede742543b5ebf98f.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.4ms\n",
            "image 14/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e34d1292-1d0a-11ec-aa20-d8c4975e38aa_jpg.rf.18d182afc131b4722b28016d7f28b02f.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 15/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e38d6cb2-1d0a-11ec-86b7-d8c4975e38aa_jpg.rf.799a4555e34d6d5b5acc27337d84f4f0.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 16/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e38fceeb-1d0a-11ec-8ec3-d8c4975e38aa_jpg.rf.e061bc37d62b1f4f7f58dcf95d66724b.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 17/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e3a7a47c-1d0a-11ec-a3d6-d8c4975e38aa_jpg.rf.63f8256cdc23dd77bce67d18ee4e3956.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 18/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e412e57f-1d0a-11ec-a6ae-d8c4975e38aa_jpg.rf.92fa06380f5ff58906752e536e961497.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 19/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e4390815-1d0a-11ec-b2c1-d8c4975e38aa_jpg.rf.d261ef498ced39069f3ba4b34020bef7.jpg: 128x128 overripe 0.48, rotten 0.18, ripe 0.17, unripe 0.17, 3.4ms\n",
            "image 20/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e468b364-1d0a-11ec-951a-d8c4975e38aa_jpg.rf.048dd735b0cdaf7a92b642f5c901cf6b.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 21/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e4854d39-1d0a-11ec-9766-d8c4975e38aa_jpg.rf.79fb3005483bddb4b746969e1636b4ab.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 22/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e4b033d5-1d0a-11ec-800d-d8c4975e38aa_jpg.rf.ebd64901aacd92379a919c1091d8809b.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.5ms\n",
            "image 23/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e4b295f7-1d0a-11ec-8b9e-d8c4975e38aa_jpg.rf.39536025ec31c16325cecc1369174cb6.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 24/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e4c80973-1d0a-11ec-8f6c-d8c4975e38aa_jpg.rf.c72d4258a71fa271ddc9cc9696ea49d5.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.9ms\n",
            "image 25/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e50ac89f-1d0a-11ec-b750-d8c4975e38aa_jpg.rf.dafaacfa8e2fcf260bf79d0560bbaf69.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 26/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e51912ab-1d0a-11ec-8eb2-d8c4975e38aa_jpg.rf.872624bd5113d69f0c009161879893f1.jpg: 128x128 overripe 0.46, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 27/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e52e870e-1d0a-11ec-80be-d8c4975e38aa_jpg.rf.6e0a060f37478c2b2c2eceaac35dcd1e.jpg: 128x128 overripe 0.46, rotten 0.18, unripe 0.18, ripe 0.18, 3.3ms\n",
            "image 28/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e5334cbb-1d0a-11ec-9eec-d8c4975e38aa_jpg.rf.b0a3fd2f56ca7662bb0934cf34f8c0e3.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 29/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e543f983-1d0a-11ec-bbdb-d8c4975e38aa_jpg.rf.6be77f0b5e1d2ff92f3ffa71641099df.jpg: 128x128 rotten 0.46, overripe 0.18, unripe 0.18, ripe 0.18, 3.3ms\n",
            "image 30/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e56a1c19-1d0a-11ec-9d4b-d8c4975e38aa_jpg.rf.17ac222e84331b81b6127b83dce7dec6.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.4ms\n",
            "image 31/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e5976800-1d0a-11ec-a564-d8c4975e38aa_jpg.rf.29ce3a3db4a53e7d20c261849c762f31.jpg: 128x128 overripe 0.43, rotten 0.21, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 32/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e5c4b03e-1d0a-11ec-b334-d8c4975e38aa_jpg.rf.ca15ad9c1138d8beb99f8c785bdf4aaa.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.7ms\n",
            "image 33/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e5d7bf45-1d0a-11ec-81e5-d8c4975e38aa_jpg.rf.02a4df5b34b4463ffbe185dff614994d.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.1ms\n",
            "image 34/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e5ead07c-1d0a-11ec-8277-d8c4975e38aa_jpg.rf.0730c0cef93d9f7eaa43733d30752e87.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 35/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e61f3fe3-1d0a-11ec-b881-d8c4975e38aa_jpg.rf.6658b435fdfbc7604a51fc29e402e7fa.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 36/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e647c494-1d0a-11ec-b111-d8c4975e38aa_jpg.rf.b71d67ecea5ea4505b508171eb068490.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 37/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e64c8b36-1d0a-11ec-94ff-d8c4975e38aa_jpg.rf.a8f6a1efc52228e51bdedad43c0a06dd.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 38/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e65d3a4a-1d0a-11ec-96cf-d8c4975e38aa_jpg.rf.2f0171a63244cdbedf5da16f55d5f915.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 4.2ms\n",
            "image 39/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e68ce469-1d0a-11ec-b447-d8c4975e38aa_jpg.rf.6e2c90802a27993055d5d8c184e2cf95.jpg: 128x128 overripe 0.45, rotten 0.19, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 40/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-mold-e691a8f1-1d0a-11ec-8d3f-d8c4975e38aa_jpg.rf.781ffeeb07a263adc0512b837edd14b8.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 41/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-74d28e6f-2653-11ec-a1c3-d8c4975e38aa_jpg.rf.c494b2c758d1430121a55d0607fd5f29.jpg: 128x128 overripe 0.44, ripe 0.20, rotten 0.18, unripe 0.18, 3.3ms\n",
            "image 42/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-750bc0a8-2653-11ec-ba0b-d8c4975e38aa_jpg.rf.7d1c7576786e3ea0ef6c140193a65c2c.jpg: 128x128 overripe 0.33, ripe 0.30, rotten 0.19, unripe 0.19, 3.3ms\n",
            "image 43/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-75618eec-2653-11ec-9915-d8c4975e38aa_jpg.rf.abdef39134c7eed892593fd725c86681.jpg: 128x128 overripe 0.44, ripe 0.19, rotten 0.19, unripe 0.18, 3.6ms\n",
            "image 44/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-75665408-2653-11ec-ab45-d8c4975e38aa_jpg.rf.a70979de04466654fd72b72a0bfbc21b.jpg: 128x128 overripe 0.39, ripe 0.23, rotten 0.19, unripe 0.19, 3.7ms\n",
            "image 45/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-75e4a4f0-2653-11ec-ab49-d8c4975e38aa_jpg.rf.eacd4c7e51a6ab265aeeb7690ce657ac.jpg: 128x128 overripe 0.43, ripe 0.21, rotten 0.18, unripe 0.18, 3.5ms\n",
            "image 46/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-75e70707-2653-11ec-bd18-d8c4975e38aa_jpg.rf.29bb5e3e93929628959f8b2a17375ff8.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 47/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-76d2fc64-2653-11ec-92cc-d8c4975e38aa_jpg.rf.f3264f4fc782fd748d5cb2c0c465edb2.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.5ms\n",
            "image 48/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-76ed3418-2653-11ec-8f9b-d8c4975e38aa_jpg.rf.3761401e77076ca710eb2ec4efcf24a0.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 49/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7b987780-2653-11ec-a349-d8c4975e38aa_jpg.rf.be7ff07ec704133893fb01af2ffbcc0c.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 50/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7bfb286f-2653-11ec-92cf-d8c4975e38aa_jpg.rf.43437d547db041a6a21a9a47be68ee52.jpg: 128x128 overripe 0.48, rotten 0.18, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 51/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7c3cdfd8-2653-11ec-942a-d8c4975e38aa_jpg.rf.29336873f2bb8c3b088545b75c853dc2.jpg: 128x128 overripe 0.48, rotten 0.18, ripe 0.17, unripe 0.17, 3.8ms\n",
            "image 52/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7c798691-2653-11ec-8890-d8c4975e38aa_jpg.rf.5bb952fb3a0d04bb610db0026536e3a5.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 53/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7cb53e92-2653-11ec-96e3-d8c4975e38aa_jpg.rf.3091774e0742cef3ac095d7978ab2f21.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 54/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7d234200-2653-11ec-a391-d8c4975e38aa_jpg.rf.e47bf1a73d280f2e9044fc6ed3754d01.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 55/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7d242aae-2653-11ec-bac1-d8c4975e38aa_jpg.rf.03b9e1ec85a7e5b9fc5fd2402c686429.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 56/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7d27a70a-2653-11ec-8116-d8c4975e38aa_jpg.rf.5af038c5ca5f970452df775dbd3fb712.jpg: 128x128 overripe 0.48, rotten 0.18, ripe 0.17, unripe 0.17, 3.3ms\n",
            "image 57/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7de91908-2653-11ec-ae8f-d8c4975e38aa_jpg.rf.b24e7bff45e3099c00683d5deefdd095.jpg: 128x128 overripe 0.46, rotten 0.19, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 58/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7e12d34e-2653-11ec-a53b-d8c4975e38aa_jpg.rf.357365393f189cdba11ff29735feb78e.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.17, 5.4ms\n",
            "image 59/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7e14f045-2653-11ec-8ab5-d8c4975e38aa_jpg.rf.8ff6bd42049845a152b519c4c3efa17a.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 60/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7e1f43ce-2653-11ec-84b6-d8c4975e38aa_jpg.rf.38524925eb3fe8e2dec6209278fd9f6c.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 61/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7e2ff028-2653-11ec-8d2b-d8c4975e38aa_jpg.rf.018044b041132db164501892f226d91d.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 62/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7e3fd1f4-2653-11ec-a42a-d8c4975e38aa_jpg.rf.ff6c329869a78392cf1fe543afbb1c8b.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 4.0ms\n",
            "image 63/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7e96b91e-2653-11ec-a217-d8c4975e38aa_jpg.rf.cda2157e424f78408f49295af97a0caa.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 64/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7ee0fa95-2653-11ec-b657-d8c4975e38aa_jpg.rf.e75cf60d58c57dd08400bbbdd5547ab5.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 65/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7eea9ccc-2653-11ec-be97-d8c4975e38aa_jpg.rf.6ed2cd18fb9a338712c8dc497a55817a.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 66/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7efee22f-2653-11ec-bbd4-d8c4975e38aa_jpg.rf.e41066b26c8f4ef4b68c7bd00b840a10.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 67/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7f03a6a9-2653-11ec-8b4e-d8c4975e38aa_jpg.rf.6f7ae39553379224bde2f82fcaa4afd7.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.17, 3.2ms\n",
            "image 68/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7f5d1d04-2653-11ec-8b8f-d8c4975e38aa_jpg.rf.3ffd5c143609f9942aae15e8958e22d9.jpg: 128x128 overripe 0.39, rotten 0.24, ripe 0.19, unripe 0.19, 3.3ms\n",
            "image 69/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7f6f6f29-2653-11ec-9d96-d8c4975e38aa_jpg.rf.cf5d8ca5d28095dce6151a6be40f9b38.jpg: 128x128 overripe 0.48, rotten 0.18, ripe 0.17, unripe 0.17, 3.3ms\n",
            "image 70/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7f84dc0a-2653-11ec-8c37-d8c4975e38aa_jpg.rf.fe2b4057e58e63a16cbd2d693937c90e.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 71/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7f85b72f-2653-11ec-b982-d8c4975e38aa_jpg.rf.d5264063585145514d60d0d025d0415c.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.2ms\n",
            "image 72/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-7fefa999-2653-11ec-b909-d8c4975e38aa_jpg.rf.2ba9cbaebfb33dc12d0629116a4d9d5c.jpg: 128x128 overripe 0.43, rotten 0.21, ripe 0.18, unripe 0.18, 4.6ms\n",
            "image 73/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-800695c4-2653-11ec-a5c4-d8c4975e38aa_jpg.rf.84b9385c9eda54b529c16461dae74726.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.5ms\n",
            "image 74/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-800b04df-2653-11ec-a4b2-d8c4975e38aa_jpg.rf.b9ffa69fc845766680d69306d78bc598.jpg: 128x128 overripe 0.46, rotten 0.19, ripe 0.18, unripe 0.18, 3.4ms\n",
            "image 75/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-801f37db-2653-11ec-9b3c-d8c4975e38aa_jpg.rf.12ff3f8d6bf7a533030e76654f53a5d4.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 76/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-804ce5c9-2653-11ec-823b-d8c4975e38aa_jpg.rf.eb2f084406bc21e0b6c7540266a2c639.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 4.7ms\n",
            "image 77/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-8082efd8-2653-11ec-b0fc-d8c4975e38aa_jpg.rf.544efcbbde7dad272842bf43fea7fb68.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.6ms\n",
            "image 78/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-8086e0e4-2653-11ec-8098-d8c4975e38aa_jpg.rf.7c51275ceb1ec6f1f8066633dfe4bc2c.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.3ms\n",
            "image 79/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-8098c96c-2653-11ec-84d2-d8c4975e38aa_jpg.rf.aa4861de1008d379b0c0398d91777fe9.jpg: 128x128 overripe 0.45, rotten 0.19, ripe 0.18, unripe 0.18, 3.3ms\n",
            "image 80/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-80b32ade-2653-11ec-9e07-d8c4975e38aa_jpg.rf.6392792c6c09e5643603b088e7264648.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 3.2ms\n",
            "image 81/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-80d47afa-2653-11ec-96de-d8c4975e38aa_jpg.rf.d5acee30439fc8f1428cabc0c34ca68b.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.1ms\n",
            "image 82/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-80ff3fdd-2653-11ec-9844-d8c4975e38aa_jpg.rf.bf47959156598572b13a4f16de581cd0.jpg: 128x128 overripe 0.47, rotten 0.18, unripe 0.18, ripe 0.18, 3.3ms\n",
            "image 83/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9bdb4860-1d0a-11ec-b038-d8c4975e38aa_jpg.rf.1f844034118b58f7673142d7afbede5f.jpg: 128x128 ripe 0.32, overripe 0.30, rotten 0.19, unripe 0.19, 3.2ms\n",
            "image 84/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9be26ec9-1d0a-11ec-a958-d8c4975e38aa_jpg.rf.6d15734b13a6fda73ca49e29287f9eab.jpg: 128x128 ripe 0.34, overripe 0.28, rotten 0.19, unripe 0.19, 3.2ms\n",
            "image 85/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9bf0bbae-1d0a-11ec-b453-d8c4975e38aa_jpg.rf.e2ec0a4fe8de7cb3c43e7ae8275f3be0.jpg: 128x128 overripe 0.39, ripe 0.24, rotten 0.19, unripe 0.18, 3.5ms\n",
            "image 86/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9bf31dc7-1d0a-11ec-a774-d8c4975e38aa_jpg.rf.28494baf3c4eda00a5a7da3c6505db5d.jpg: 128x128 overripe 0.45, ripe 0.19, rotten 0.18, unripe 0.18, 3.5ms\n",
            "image 87/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9c147c05-1d0a-11ec-96f3-d8c4975e38aa_jpg.rf.bf5019eb3a0c8f03701e09a11444d259.jpg: 128x128 overripe 0.32, ripe 0.30, unripe 0.19, rotten 0.19, 3.3ms\n",
            "image 88/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9c1ba285-1d0a-11ec-ab55-d8c4975e38aa_jpg.rf.2a73527bc0e6e71fa0fe66b4437540ab.jpg: 128x128 ripe 0.44, overripe 0.20, unripe 0.18, rotten 0.18, 3.4ms\n",
            "image 89/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9c527416-1d0a-11ec-a08c-d8c4975e38aa_jpg.rf.c157c31fc1f0d13c69a2c9bfe9515da1.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.2ms\n",
            "image 90/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9c573862-1d0a-11ec-8428-d8c4975e38aa_jpg.rf.5bf6ba0cf35b0905a9e487cf10dd71dc.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.17, unripe 0.17, 3.7ms\n",
            "image 91/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9c7af8d1-1d0a-11ec-9322-d8c4975e38aa_jpg.rf.5ad4b48ee41287bd027273add79e7bd4.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.17, unripe 0.17, 3.4ms\n",
            "image 92/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9cc2796e-1d0a-11ec-9270-d8c4975e38aa_jpg.rf.916607117bd1c8dbfcd0858fac034b97.jpg: 128x128 overripe 0.47, ripe 0.18, rotten 0.18, unripe 0.18, 3.6ms\n",
            "image 93/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9ce1756c-1d0a-11ec-9f60-d8c4975e38aa_jpg.rf.74ee6770ff59942b59b840eb193a3a32.jpg: 128x128 overripe 0.46, rotten 0.18, ripe 0.18, unripe 0.18, 3.4ms\n",
            "image 94/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9d6e14dd-1d0a-11ec-8368-d8c4975e38aa_jpg.rf.583349d07640207cfe2728b501ac8239.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.7ms\n",
            "image 95/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9d91d4f6-1d0a-11ec-b3c9-d8c4975e38aa_jpg.rf.b95f689d1589af5e474e17029d23b6a9.jpg: 128x128 overripe 0.45, rotten 0.19, ripe 0.18, unripe 0.18, 3.6ms\n",
            "image 96/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9e7b687b-1d0a-11ec-9c19-d8c4975e38aa_jpg.rf.e9e693a37c0bf9e60b15b647ed7cd83a.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 4.8ms\n",
            "image 97/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9fc45211-1d0a-11ec-bad0-d8c4975e38aa_jpg.rf.485aaadf8613ff77e5e3bb52647da9a2.jpg: 128x128 overripe 0.46, rotten 0.18, unripe 0.18, ripe 0.18, 3.5ms\n",
            "image 98/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9fcddbe9-1d0a-11ec-8f83-d8c4975e38aa_jpg.rf.1ed4fea177ee408faddc6cabb0334364.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.9ms\n",
            "image 99/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9fe81252-1d0a-11ec-b36b-d8c4975e38aa_jpg.rf.03ddfa0399054ddfb8bbba9fd8292b62.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.5ms\n",
            "image 100/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-9ff19af1-1d0a-11ec-acfe-d8c4975e38aa_jpg.rf.58099fcfb112638c704c7430f2063ed2.jpg: 128x128 overripe 0.43, rotten 0.21, ripe 0.18, unripe 0.18, 3.6ms\n",
            "image 101/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a023a989-1d0a-11ec-be78-d8c4975e38aa_jpg.rf.2b39c8b9fcb48ac939640d35b606da51.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.6ms\n",
            "image 102/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a03b7f3f-1d0a-11ec-8f72-d8c4975e38aa_jpg.rf.912e73b0ee3b4040bcc49c9429bff6d7.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.6ms\n",
            "image 103/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a0a92104-1d0a-11ec-9f07-d8c4975e38aa_jpg.rf.8f39ab858b48ebbde0e8c289667b3b14.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.17, unripe 0.17, 4.9ms\n",
            "image 104/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a0c81d03-1d0a-11ec-83dc-d8c4975e38aa_jpg.rf.0fbd42942f192a46edfa594668ac992e.jpg: 128x128 overripe 0.48, rotten 0.17, ripe 0.17, unripe 0.17, 3.9ms\n",
            "image 105/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a0d407c7-1d0a-11ec-a919-d8c4975e38aa_jpg.rf.7337505393886a9680e9ff011bd8dc8b.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.5ms\n",
            "image 106/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a1251129-1d0a-11ec-91de-d8c4975e38aa_jpg.rf.38673067cdfcf1541e1789393ca5c240.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 5.3ms\n",
            "image 107/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a12775a1-1d0a-11ec-9e43-d8c4975e38aa_jpg.rf.09117709ac63e8fa0c4e04c10eb4bf1e.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.7ms\n",
            "image 108/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a159809e-1d0a-11ec-a7d6-d8c4975e38aa_jpg.rf.08562f2eeddb0b45572cd5bc593fc3c1.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.6ms\n",
            "image 109/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a173b851-1d0a-11ec-a271-d8c4975e38aa_jpg.rf.4ec5b4287d6dd194563b8ae166818791.jpg: 128x128 overripe 0.47, rotten 0.18, ripe 0.18, unripe 0.18, 3.5ms\n",
            "image 110/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a18df166-1d0a-11ec-b3d9-d8c4975e38aa_jpg.rf.341bd3fbab1e50767bd5d8ee0caa3c3e.jpg: 128x128 overripe 0.45, rotten 0.20, unripe 0.18, ripe 0.18, 7.1ms\n",
            "image 111/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a192b469-1d0a-11ec-8e92-d8c4975e38aa_jpg.rf.f496d3da695c7c35cc2232c6399b52bd.jpg: 128x128 overripe 0.47, rotten 0.18, unripe 0.18, ripe 0.18, 3.8ms\n",
            "image 112/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a1aa89e1-1d0a-11ec-a231-d8c4975e38aa_jpg.rf.e3f09e08b1e7138ef31add1bed24f389.jpg: 128x128 overripe 0.47, rotten 0.18, unripe 0.18, ripe 0.18, 3.7ms\n",
            "image 113/113 /content/datasets/Banana-Ripeness-Classification-4/test/overripe/musa-acuminata-overripe-a1bd9b24-1d0a-11ec-bf58-d8c4975e38aa_jpg.rf.98f8d5585071b7c4ec0f778a7d90e9dc.jpg: 128x128 overripe 0.47, rotten 0.18, unripe 0.18, ripe 0.18, 3.7ms\n",
            "Speed: 0.1ms pre-process, 3.5ms inference, 0.1ms postprocess per image at shape (1, 3, 640, 640)\n",
            "Results saved to \u001b[1mruns/classify/predict2\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "%cd {HOME}\n",
        "!yolo task=classify mode=predict model={HOME}/runs/classify/train/weights/best.pt conf=0.25 source={dataset.location}/test/overripe"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "jbVjEtPAkz3j",
        "outputId": "90279548-d1a9-4b50-c1db-a04d5282871e"
      },
      "outputs": [],
      "source": [
        "import glob\n",
        "from IPython.display import Image, display\n",
        "\n",
        "for image_path in glob.glob(f'{HOME}/runs/classify/predict/*.jpg')[:3]:\n",
        "      display(Image(filename=image_path, width=600))\n",
        "      print(\"\\n\")"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}