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segformer-b3-finetuned-segments-greenhousev7-oct-26

Image Segmentation
PyTorch
segformer
vision
Generated from Trainer
Model card Files Community
segformer-b3-finetuned-segments-greenhousev7-oct-26
File size: 1,538 Bytes 
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{
  "_name_or_path": "nvidia/mit-b3",
  "architectures": [
    "SegformerForSemanticSegmentation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 768,
  "depths": [
    3,
    4,
    18,
    3
  ],
  "downsampling_rates": [
    1,
    4,
    8,
    16
  ],
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_sizes": [
    64,
    128,
    320,
    512
  ],
  "id2label": {
    "0": "unlabeled",
    "1": "object",
    "2": "road",
    "3": "plant",
    "4": "iron",
    "5": "wood",
    "6": "wall",
    "7": "raw_road",
    "8": "bottom_wall",
    "9": "roof",
    "10": "grass",
    "11": "mulch",
    "12": "person",
    "13": "Tomato"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Tomato": 13,
    "bottom_wall": 8,
    "grass": 10,
    "iron": 4,
    "mulch": 11,
    "object": 1,
    "person": 12,
    "plant": 3,
    "raw_road": 7,
    "road": 2,
    "roof": 9,
    "unlabeled": 0,
    "wall": 6,
    "wood": 5
  },
  "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": [
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    3,
    3,
    3
  ],
  "reshape_last_stage": true,
  "semantic_loss_ignore_index": 255,
  "sr_ratios": [
    8,
    4,
    2,
    1
  ],
  "strides": [
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    2,
    2,
    2
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.33.2"
}