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oxford_pet-timm-convnext_base.fb_in1k

Image Classification
timm
PyTorch
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oxford_pet-timm-convnext_base.fb_in1k
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{
  "architecture": "swin_base_patch4_window7_224",
  "num_classes": 37,
  "num_features": 1024,
  "global_pool": "avg",
  "label_names": {
    "Abyssinian": 0,
    "American Bulldog": 1,
    "American Pit Bull Terrier": 2,
    "Basset Hound": 3,
    "Beagle": 4,
    "Bengal": 5,
    "Birman": 6,
    "Bombay": 7,
    "Boxer": 8,
    "British Shorthair": 9,
    "Chihuahua": 10,
    "Egyptian Mau": 11,
    "English Cocker Spaniel": 12,
    "English Setter": 13,
    "German Shorthaired": 14,
    "Great Pyrenees": 15,
    "Havanese": 16,
    "Japanese Chin": 17,
    "Keeshond": 18,
    "Leonberger": 19,
    "Maine Coon": 20,
    "Miniature Pinscher": 21,
    "Newfoundland": 22,
    "Persian": 23,
    "Pomeranian": 24,
    "Pug": 25,
    "Ragdoll": 26,
    "Russian Blue": 27,
    "Saint Bernard": 28,
    "Samoyed": 29,
    "Scottish Terrier": 30,
    "Shiba Inu": 31,
    "Siamese": 32,
    "Sphynx": 33,
    "Staffordshire Bull Terrier": 34,
    "Wheaten Terrier": 35,
    "Yorkshire Terrier": 36
  },
  "pretrained_cfg": {
    "tag": "ms_in22k_ft_in1k",
    "custom_load": false,
    "input_size": [
      3,
      224,
      224
    ],
    "fixed_input_size": true,
    "interpolation": "bicubic",
    "crop_pct": 0.9,
    "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": "patch_embed.proj",
    "classifier": "head.fc",
    "license": "mit"
  }
}