{
  "url": "https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet50_a1_0-14fe96d1.pth",
  "num_classes": 37,
  "input_size": [
    3,
    224,
    224
  ],
  "pool_size": [
    7,
    7
  ],
  "crop_pct": 0.95,
  "interpolation": "bicubic",
  "mean": [
    0.485,
    0.456,
    0.406
  ],
  "std": [
    0.229,
    0.224,
    0.225
  ],
  "first_conv": "conv1",
  "classifier": "fc",
  "architecture": "resnet50",
  "num_features": 2048,
  "labels": [
    "Abyssinian",
    "american_bulldog",
    "american_pit_bull_terrier",
    "basset_hound",
    "beagle",
    "Bengal",
    "Birman",
    "Bombay",
    "boxer",
    "British_Shorthair",
    "chihuahua",
    "Egyptian_Mau",
    "english_cocker_spaniel",
    "english_setter",
    "german_shorthaired",
    "great_pyrenees",
    "havanese",
    "japanese_chin",
    "keeshond",
    "leonberger",
    "Maine_Coon",
    "miniature_pinscher",
    "newfoundland",
    "Persian",
    "pomeranian",
    "pug",
    "Ragdoll",
    "Russian_Blue",
    "saint_bernard",
    "samoyed",
    "scottish_terrier",
    "shiba_inu",
    "Siamese",
    "Sphynx",
    "staffordshire_bull_terrier",
    "wheaten_terrier",
    "yorkshire_terrier"
  ]
}