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cytologia-facebook-detr-resnet-101-256

Object Detection
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cytologia-facebook-detr-resnet-101-256
File size: 2,039 Bytes 
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{
  "_name_or_path": "facebook/detr-resnet-101",
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone": "resnet101",
  "backbone_config": null,
  "backbone_kwargs": {
    "in_chans": 3,
    "out_indices": [
      1,
      2,
      3,
      4
    ]
  },
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 3,
  "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": false,
  "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": "B",
    "1": "BA",
    "2": "EO",
    "3": "Er",
    "4": "LAM3",
    "5": "LF",
    "6": "LGL",
    "7": "LH_lyAct",
    "8": "LLC",
    "9": "LM",
    "10": "LY",
    "11": "LZMG",
    "12": "LyB",
    "13": "Lysee",
    "14": "M",
    "15": "MBL",
    "16": "MM",
    "17": "MO",
    "18": "MoB",
    "19": "PM",
    "20": "PNN",
    "21": "SS",
    "22": "Thromb"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "B": 0,
    "BA": 1,
    "EO": 2,
    "Er": 3,
    "LAM3": 4,
    "LF": 5,
    "LGL": 6,
    "LH_lyAct": 7,
    "LLC": 8,
    "LM": 9,
    "LY": 10,
    "LZMG": 11,
    "LyB": 12,
    "Lysee": 13,
    "M": 14,
    "MBL": 15,
    "MM": 16,
    "MO": 17,
    "MoB": 18,
    "PM": 19,
    "PNN": 20,
    "SS": 21,
    "Thromb": 22
  },
  "mask_loss_coefficient": 1,
  "max_position_embeddings": 1024,
  "model_type": "detr",
  "num_channels": 3,
  "num_hidden_layers": 6,
  "num_queries": 1,
  "position_embedding_type": "sine",
  "scale_embedding": false,
  "torch_dtype": "float32",
  "transformers_version": "4.47.0",
  "use_pretrained_backbone": true,
  "use_timm_backbone": true
}