config.json

{
  "_name_or_path": "nvidia/mit-b0",
  "architectures": [
    "SegformerForSemanticSegmentation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 256,
  "depths": [
    2,
    2,
    2,
    2
  ],
  "downsampling_rates": [
    1,
    4,
    8,
    16
  ],
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_sizes": [
    32,
    64,
    160,
    256
  ],
  "id2label": {
    "0": "Structure (dimensional)",
    "1": "Impervious (planiform)",
    "2": "Fences",
    "3": "Water Storage/Tank",
    "4": "Pool < 100 sqft",
    "5": "Pool > 100 sqft",
    "6": "Irrigated Planiform",
    "7": "Irrigated Dimensional Low",
    "8": "Irrigated Dimensional High",
    "9": "Irrigated Bare",
    "10": "Irrigable Planiform",
    "11": "Irrigable Dimensional Low",
    "12": "Irrigable Dimensional High",
    "13": "Irrigable Bare",
    "14": "Native Planiform",
    "15": "Native Dimensional Low",
    "16": "Native Dimensional High",
    "17": "Native Bare",
    "18": "UDL",
    "19": "Open Water",
    "20": "Artificial Turf"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Artificial Turf": 20,
    "Fences": 2,
    "Impervious (planiform)": 1,
    "Irrigable Bare": 13,
    "Irrigable Dimensional High": 12,
    "Irrigable Dimensional Low": 11,
    "Irrigable Planiform": 10,
    "Irrigated Bare": 9,
    "Irrigated Dimensional High": 8,
    "Irrigated Dimensional Low": 7,
    "Irrigated Planiform": 6,
    "Native Bare": 17,
    "Native Dimensional High": 16,
    "Native Dimensional Low": 15,
    "Native Planiform": 14,
    "Open Water": 19,
    "Pool < 100 sqft": 4,
    "Pool > 100 sqft": 5,
    "Structure (dimensional)": 0,
    "UDL": 18,
    "Water Storage/Tank": 3
  },
  "layer_norm_eps": 1e-06,
  "mlp_ratios": [
    4,
    4,
    4,
    4
  ],
  "model_type": "segformer",
  "num_attention_heads": [
    1,
    2,
    5,
    8
  ],
  "num_channels": 3,
  "num_encoder_blocks": 4,
  "patch_sizes": [
    7,
    3,
    3,
    3
  ],
  "reshape_last_stage": true,
  "semantic_loss_ignore_index": 255,
  "sr_ratios": [
    8,
    4,
    2,
    1
  ],
  "strides": [
    4,
    2,
    2,
    2
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.44.2"
}