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        "model_convnext_tiny_22k"
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        "model_convnext_small_upernet",
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        "model_convnext_tiny_upernet"
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      "page": "model_deeplabv3",
      "title": "DeepLabV3 Semantic Segmentation Models",
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        "model_deeplabv3_resnet101",
        "model_deeplabv3_resnet50"
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      "title": "EfficientNet Models",
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        "model_efficientnet_b2",
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        "model_efficientnet_b4",
        "model_efficientnet_b5",
        "model_efficientnet_b6",
        "model_efficientnet_b7"
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      "concept": [
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        "model_efficientnet_v2_m",
        "model_efficientnet_v2_s"
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    },
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      "page": "model_facenet",
      "title": "MTCNN Face Detection Networks",
      "concept": [
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        "object_detection_model"
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        "model_facenet_inception_resnet_v1",
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        "model_facenet_pnet",
        "model_facenet_rnet",
        "model_mtcnn"
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    {
      "page": "model_fasterrcnn",
      "title": "Faster R-CNN Models",
      "concept": [
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        "model_fasterrcnn_mobilenet_v3_large_fpn",
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        "model_fasterrcnn_resnet50_fpn_v2"
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      "page": "model_fcn_resnet",
      "title": "Fully Convolutional Network for Semantic Segmentation",
      "concept": [
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        "model_fcn_resnet101",
        "model_fcn_resnet50"
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      "title": "Inception v3 model",
      "concept": [
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    },
    {
      "page": "model_lw_detr",
      "title": "LW-DETR Object Detection Models",
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        "model_lw_detr_large",
        "model_lw_detr_medium",
        "model_lw_detr_small",
        "model_lw_detr_tiny"
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      "page": "model_maskrcnn",
      "title": "Mask R-CNN Models",
      "concept": [
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        "model_maskrcnn_resnet50_fpn_v2"
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      "title": "RF-DETR Implementation",
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        "model_rfdetr_base_2",
        "model_rfdetr_base_o365",
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        "model_rfdetr_small"
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      "page": "model_vgg",
      "title": "VGG implementation",
      "concept": [
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        "model_vgg11",
        "model_vgg11_bn",
        "model_vgg13",
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        "model_vgg16",
        "model_vgg16_bn",
        "model_vgg19",
        "model_vgg19_bn"
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    },
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      "page": "model_vit",
      "title": "Vision Transformer Implementation",
      "concept": [
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        "model_vit_b_32",
        "model_vit_h_14",
        "model_vit_l_16",
        "model_vit_l_32"
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    },
    {
      "page": "nms",
      "title": "Non-maximum Suppression (NMS)",
      "topics": [
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    {
      "page": "oxfordiiitpet_dataset",
      "title": "Oxford-IIIT Pet Classification Datasets",
      "concept": [
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      "topics": [
        "oxfordiiitpet_binary_dataset",
        "oxfordiiitpet_dataset"
      ]
    },
    {
      "page": "oxfordiiitpet_segmentation_dataset",
      "title": "Oxford-IIIT Pet Segmentation Dataset",
      "concept": [
        "segmentation_dataset"
      ],
      "topics": [
        "oxfordiiitpet_segmentation_dataset"
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    },
    {
      "page": "pascal_voc_classes",
      "title": "Pascal VOC Segmentation Dataset",
      "concept": [
        "class_resolution"
      ],
      "topics": [
        "pascal_voc_classes"
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    },
    {
      "page": "pascal_voc_datasets",
      "title": "Pascal VOC Datasets",
      "concept": [
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        "segmentation_dataset"
      ],
      "topics": [
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        "pascal_segmentation_dataset",
        "pascal_voc_datasets"
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    },
    {
      "page": "places365_dataset",
      "title": "Places365 Dataset",
      "concept": [
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      "topics": [
        "places365_dataset",
        "places365_dataset_large"
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    },
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