config.json

{
  "_name_or_path": "google/deeplabv3_mobilenet_v2_1.0_513",
  "architectures": [
    "MobileNetV2ForSemanticSegmentation"
  ],
  "classifier_dropout_prob": 0.8,
  "depth_divisible_by": 8,
  "depth_multiplier": 1.0,
  "expand_ratio": 6,
  "finegrained_output": true,
  "first_layer_is_expansion": true,
  "hidden_act": "relu6",
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13"
  },
  "image_size": [
    512,
    512
  ],
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 0.001,
  "min_depth": 8,
  "model_type": "mobilenet_v2",
  "num_channels": 3,
  "output_stride": 8,
  "semantic_loss_ignore_index": 255,
  "tf_padding": true,
  "torch_dtype": "float32",
  "transformers_version": "4.32.1"
}