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README.md
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@@ -4,67 +4,67 @@ metrics:
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- accuracy
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- f1
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---
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Detects cat breed (from the list of 48 common breeds) with about
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See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
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 with about 70% accuracy based on image.
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See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
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```
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Classification report:
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precision recall f1-score support
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Abyssinian 0.9691 0.9039 0.9354 2258
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American Bobtail 0.2961 0.1940 0.2344 2258
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American Curl 0.8650 0.8485 0.8567 2258
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American Shorthair 0.2030 0.0244 0.0435 2258
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Applehead Siamese 0.9683 0.9867 0.9774 2258
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Balinese 0.8031 0.8942 0.8462 2258
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Bengal 0.7085 0.7427 0.7252 2258
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Birman 0.7628 0.8561 0.8068 2258
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Bombay 0.5053 0.8592 0.6364 2258
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British Shorthair 0.6634 0.6931 0.6779 2258
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Burmese 0.8347 0.8273 0.8310 2258
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Calico 0.5736 0.5952 0.5842 2258
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Cornish Rex 0.9851 0.9925 0.9887 2258
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Devon Rex 0.9668 0.9925 0.9795 2258
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Dilute Calico 0.5681 0.5580 0.5630 2258
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Dilute Tortoiseshell 0.5614 0.6798 0.6150 2258
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Domestic Long Hair 0.3526 0.3029 0.3259 2258
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Domestic Medium Hair 0.2225 0.0903 0.1285 2258
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Domestic Short Hair 0.7859 0.9690 0.8679 2258
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Egyptian Mau 0.8096 0.8570 0.8326 2258
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Exotic Shorthair 0.8297 0.6838 0.7497 2258
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Extra-Toes Cat - Hemingway Polydactyl 0.3105 0.0864 0.1351 2258
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Havana 0.9670 0.9597 0.9633 2258
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Himalayan 0.7133 0.6457 0.6778 2258
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Japanese Bobtail 0.8707 0.9420 0.9049 2258
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Maine Coon 0.4207 0.5850 0.4894 2258
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Manx 0.3450 0.0394 0.0707 2258
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Munchkin 0.7230 0.8171 0.7672 2258
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Nebelung 0.9410 0.9889 0.9644 2258
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Norwegian Forest 0.7185 0.6975 0.7079 2258
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Oriental Short Hair 0.6909 0.5089 0.5861 2258
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Persian 0.7677 0.7595 0.7636 2258
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Ragamuffin 0.9238 0.9774 0.9499 2258
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Ragdoll 0.5908 0.4712 0.5243 2258
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Russian Blue 0.7587 0.9039 0.8250 2258
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Scottish Fold 0.9108 0.8361 0.8719 2258
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Siamese 0.6623 0.6072 0.6335 2258
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Siberian 0.8566 0.9181 0.8863 2258
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Snowshoe 0.7697 0.7728 0.7713 2258
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Sphynx 0.9955 0.9876 0.9916 2258
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Tabby 0.3015 0.3158 0.3085 2258
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Tiger 0.3379 0.5598 0.4214 2258
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Tonkinese 0.8897 0.9145 0.9019 2258
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Torbie 0.5011 0.6014 0.5467 2258
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Tortoiseshell 0.6374 0.7972 0.7084 2258
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Turkish Angora 0.6689 0.7166 0.6919 2258
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Turkish Van 0.6129 0.8268 0.7040 2258
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Tuxedo 0.5709 0.8184 0.6726 2258
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accuracy 0.7001 108384
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macro avg 0.6811 0.7001 0.6801 108384
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weighted avg 0.6811 0.7001 0.6801 108384
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```
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