config.json

{
  "architecture": "efficientnet_b0",
  "num_classes": 4,
  "num_features": 1280,
  "label_names": [
    "1_Normal",
    "2_OME",
    "4_AOM",
    "5_Perforation"
  ],
  "pretrained_cfg": {
    "tag": "ra_in1k",
    "custom_load": false,
    "input_size": [
      3,
      224,
      224
    ],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 0.875,
    "crop_mode": "center",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "num_classes": 1000,
    "pool_size": [
      7,
      7
    ],
    "first_conv": "conv_stem",
    "classifier": "classifier"
  }
}