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danelcsb
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rtdetr-finetuned-balloon

Object Detection
Transformers
Safetensors
rt_detr
Inference Endpoints
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rtdetr-finetuned-balloon
File size: 1,949 Bytes 
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{
  "_name_or_path": "sbchoi/rtdetr_r50vd",
  "activation_dropout": 0.0,
  "activation_function": "silu",
  "anchor_image_size": [
    640,
    640
  ],
  "architectures": [
    "RTDetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": true,
  "backbone": "resnet50d",
  "backbone_config": null,
  "backbone_kwargs": {
    "features_only": true,
    "out_indices": [
      2,
      3,
      4
    ]
  },
  "batch_norm_eps": 1e-05,
  "box_noise_scale": 1.0,
  "d_model": 256,
  "decoder_activation_function": "relu",
  "decoder_attention_heads": 8,
  "decoder_ffn_dim": 1024,
  "decoder_in_channels": [
    256,
    256,
    256
  ],
  "decoder_layers": 6,
  "decoder_n_points": 4,
  "disable_custom_kernels": true,
  "dropout": 0.0,
  "encode_proj_layers": [
    2
  ],
  "encoder_activation_function": "gelu",
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 1024,
  "encoder_in_channels": [
    512,
    1024,
    2048
  ],
  "encoder_layers": 1,
  "eos_coefficient": 0.1,
  "eval_size": null,
  "feat_strides": [
    8,
    16,
    32
  ],
  "focal_loss_alpha": 0.75,
  "focal_loss_gamma": 2.0,
  "hidden_expansion": 1.0,
  "id2label": {
    "0": "LABEL_0"
  },
  "initializer_range": 0.02,
  "is_encoder_decoder": true,
  "label2id": {
    "LABEL_0": 0
  },
  "label_noise_ratio": 0.5,
  "layer_norm_eps": 1e-05,
  "learn_initial_query": false,
  "matcher_alpha": 0.25,
  "matcher_bbox_cost": 5.0,
  "matcher_class_cost": 2.0,
  "matcher_gamma": 2.0,
  "matcher_giou_cost": 2.0,
  "model_type": "rt_detr",
  "normalize_before": false,
  "num_denoising": 100,
  "num_feature_levels": 3,
  "num_queries": 300,
  "positional_encoding_temperature": 10000,
  "torch_dtype": "float32",
  "transformers_version": "4.40.0.dev0",
  "use_focal_loss": true,
  "use_pretrained_backbone": true,
  "use_timm_backbone": true,
  "weight_loss_bbox": 5.0,
  "weight_loss_giou": 2.0,
  "weight_loss_vfl": 1.0,
  "with_box_refine": true
}