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deta-resnet-50_finetuned_blood_cell_10epochs

Object Detection
Transformers
PyTorch
deta
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deta-resnet-50_finetuned_blood_cell_10epochs
File size: 1,476 Bytes 
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{
  "_name_or_path": "jozhang97/deta-resnet-50",
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DetaForObjectDetection"
  ],
  "assign_first_stage": true,
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone_config": {
    "model_type": "resnet",
    "out_features": [
      "stage2",
      "stage3",
      "stage4"
    ],
    "out_indices": [
      2,
      3,
      4
    ]
  },
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 1,
  "d_model": 256,
  "decoder_attention_heads": 8,
  "decoder_ffn_dim": 2048,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 6,
  "decoder_n_points": 4,
  "dice_loss_coefficient": 1,
  "dropout": 0.1,
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 2048,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "encoder_n_points": 4,
  "eos_coefficient": 0.1,
  "focal_alpha": 0.25,
  "giou_cost": 2,
  "giou_loss_coefficient": 2,
  "id2label": {
    "0": "platelets",
    "1": "rbc",
    "2": "wbc"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "platelets": 0,
    "rbc": 1,
    "wbc": 2
  },
  "mask_loss_coefficient": 1,
  "max_position_embeddings": 2048,
  "model_type": "deta",
  "num_feature_levels": 5,
  "num_queries": 900,
  "position_embedding_type": "sine",
  "torch_dtype": "float32",
  "transformers_version": "4.34.0",
  "two_stage": true,
  "two_stage_num_proposals": 300,
  "with_box_refine": true
}