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detr-resnet-50-dc5

Object Detection
Transformers
PyTorch
Safetensors
detr
vision
Inference Endpoints
Model card Files Community
2
detr-resnet-50-dc5
File size: 4,419 Bytes 
d1b2ea2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone": "resnet50",
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 1,
  "classifier_dropout": 0.0,
  "d_model": 256,
  "decoder_attention_heads": 8,
  "decoder_ffn_dim": 2048,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 6,
  "dice_loss_coefficient": 1,
  "dilation": true,
  "dropout": 0.1,
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 2048,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "eos_coefficient": 0.1,
  "giou_cost": 2,
  "giou_loss_coefficient": 2,
  "id2label": {
    "0": "N/A",
    "1": "person",
    "2": "bicycle",
    "3": "car",
    "4": "motorcycle",
    "5": "airplane",
    "6": "bus",
    "7": "train",
    "8": "truck",
    "9": "boat",
    "10": "traffic light",
    "11": "fire hydrant",
    "12": "N/A",
    "13": "stop sign",
    "14": "parking meter",
    "15": "bench",
    "16": "bird",
    "17": "cat",
    "18": "dog",
    "19": "horse",
    "20": "sheep",
    "21": "cow",
    "22": "elephant",
    "23": "bear",
    "24": "zebra",
    "25": "giraffe",
    "26": "N/A",
    "27": "backpack",
    "28": "umbrella",
    "29": "N/A",
    "30": "N/A",
    "31": "handbag",
    "32": "tie",
    "33": "suitcase",
    "34": "frisbee",
    "35": "skis",
    "36": "snowboard",
    "37": "sports ball",
    "38": "kite",
    "39": "baseball bat",
    "40": "baseball glove",
    "41": "skateboard",
    "42": "surfboard",
    "43": "tennis racket",
    "44": "bottle",
    "45": "N/A",
    "46": "wine glass",
    "47": "cup",
    "48": "fork",
    "49": "knife",
    "50": "spoon",
    "51": "bowl",
    "52": "banana",
    "53": "apple",
    "54": "sandwich",
    "55": "orange",
    "56": "broccoli",
    "57": "carrot",
    "58": "hot dog",
    "59": "pizza",
    "60": "donut",
    "61": "cake",
    "62": "chair",
    "63": "couch",
    "64": "potted plant",
    "65": "bed",
    "66": "N/A",
    "67": "dining table",
    "68": "N/A",
    "69": "N/A",
    "70": "toilet",
    "71": "N/A",
    "72": "tv",
    "73": "laptop",
    "74": "mouse",
    "75": "remote",
    "76": "keyboard",
    "77": "cell phone",
    "78": "microwave",
    "79": "oven",
    "80": "toaster",
    "81": "sink",
    "82": "refrigerator",
    "83": "N/A",
    "84": "book",
    "85": "clock",
    "86": "vase",
    "87": "scissors",
    "88": "teddy bear",
    "89": "hair drier",
    "90": "toothbrush"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "N/A": 83,
    "airplane": 5,
    "apple": 53,
    "backpack": 27,
    "banana": 52,
    "baseball bat": 39,
    "baseball glove": 40,
    "bear": 23,
    "bed": 65,
    "bench": 15,
    "bicycle": 2,
    "bird": 16,
    "boat": 9,
    "book": 84,
    "bottle": 44,
    "bowl": 51,
    "broccoli": 56,
    "bus": 6,
    "cake": 61,
    "car": 3,
    "carrot": 57,
    "cat": 17,
    "cell phone": 77,
    "chair": 62,
    "clock": 85,
    "couch": 63,
    "cow": 21,
    "cup": 47,
    "dining table": 67,
    "dog": 18,
    "donut": 60,
    "elephant": 22,
    "fire hydrant": 11,
    "fork": 48,
    "frisbee": 34,
    "giraffe": 25,
    "hair drier": 89,
    "handbag": 31,
    "horse": 19,
    "hot dog": 58,
    "keyboard": 76,
    "kite": 38,
    "knife": 49,
    "laptop": 73,
    "microwave": 78,
    "motorcycle": 4,
    "mouse": 74,
    "orange": 55,
    "oven": 79,
    "parking meter": 14,
    "person": 1,
    "pizza": 59,
    "potted plant": 64,
    "refrigerator": 82,
    "remote": 75,
    "sandwich": 54,
    "scissors": 87,
    "sheep": 20,
    "sink": 81,
    "skateboard": 41,
    "skis": 35,
    "snowboard": 36,
    "spoon": 50,
    "sports ball": 37,
    "stop sign": 13,
    "suitcase": 33,
    "surfboard": 42,
    "teddy bear": 88,
    "tennis racket": 43,
    "tie": 32,
    "toaster": 80,
    "toilet": 70,
    "toothbrush": 90,
    "traffic light": 10,
    "train": 7,
    "truck": 8,
    "tv": 72,
    "umbrella": 28,
    "vase": 86,
    "wine glass": 46,
    "zebra": 24
  },
  "mask_loss_coefficient": 1,
  "max_position_embeddings": 1024,
  "model_type": "detr",
  "num_hidden_layers": 6,
  "num_queries": 100,
  "position_embedding_type": "sine",
  "return_intermediate_layers": false,
  "scale_embedding": false,
  "transformers_version": "4.7.0.dev0"
}