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mask2former-swin-base-IN21k-cityscapes-semantic

Image Segmentation
Transformers
PyTorch
Safetensors
mask2former
vision
Inference Endpoints
Model card Files Community
2
mask2former-swin-base-IN21k-cityscapes-semantic
File size: 4,266 Bytes 
9e58201
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
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  "activation_function": "relu",
  "architectures": [
    "Mask2FormerForUniversalSegmentation"
  ],
  "backbone_config": {
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    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.0,
    "hidden_size": 1024,
    "id2label": {
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      "1": "LABEL_1"
    },
    "image_size": 224,
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    "is_decoder": false,
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    "layer_norm_eps": 1e-05,
    "length_penalty": 1.0,
    "max_length": 20,
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    "mlp_ratio": 4.0,
    "model_type": "swin",
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    ],
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  ],
  "hidden_dim": 256,
  "id2label": {
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    "1": "sidewalk",
    "2": "building",
    "3": "wall",
    "4": "fence",
    "5": "pole",
    "6": "traffic light",
    "7": "traffic sign",
    "8": "vegetation",
    "9": "terrain",
    "10": "sky",
    "11": "person",
    "12": "rider",
    "13": "car",
    "14": "truck",
    "15": "bus",
    "16": "train",
    "17": "motorcycle",
    "18": "bicycle"
  },
  "ignore_value": 255,
  "importance_sample_ratio": 0.75,
  "init_std": 0.02,
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  "label2id": {
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    "building": 2,
    "bus": 15,
    "car": 13,
    "fence": 4,
    "motorcycle": 17,
    "person": 11,
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    "rider": 12,
    "road": 0,
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    "sky": 10,
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    "traffic light": 6,
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  },
  "mask_feature_size": 256,
  "mask_weight": 5.0,
  "model_type": "mask2former",
  "no_object_weight": 0.1,
  "num_attention_heads": 8,
  "num_hidden_layers": 10,
  "num_queries": 100,
  "output_auxiliary_logits": null,
  "oversample_ratio": 3.0,
  "pre_norm": false,
  "torch_dtype": "float32",
  "train_num_points": 12544,
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  "use_auxiliary_loss": true
}