config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "AnnualCrop",
    "1": "Forest",
    "2": "HerbaceousVegetation",
    "3": "Highway",
    "4": "Industrial",
    "5": "Pasture",
    "6": "PermanentCrop",
    "7": "Residential",
    "8": "River",
    "9": "SeaLake"
  },
  "label2id": {
    "AnnualCrop": "0",
    "Forest": "1",
    "HerbaceousVegetation": "2",
    "Highway": "3",
    "Industrial": "4",
    "Pasture": "5",
    "PermanentCrop": "6",
    "Residential": "7",
    "River": "8",
    "SeaLake": "9"
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.30.1"
}