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{
"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"
]
}