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README.md
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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 59% 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 0.9290 0.8751 0.9013 2258
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American Bobtail 0.2647 0.0319 0.0569 2258
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American Curl 0.7427 0.7467 0.7447 2258
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American Shorthair 0.1875 0.0080 0.0153 2258
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Applehead Siamese 0.7730 0.9154 0.8382 2258
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Balinese 0.6037 0.7387 0.6644 2258
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Bengal 0.6591 0.6962 0.6771 2258
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Birman 0.6149 0.7489 0.6753 2258
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Bombay 0.4149 0.8229 0.5517 2258
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British Shorthair 0.5094 0.5509 0.5294 2258
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Burmese 0.7049 0.5492 0.6174 2258
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Calico 0.5052 0.5620 0.5321 2258
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Cornish Rex 0.9515 0.9823 0.9667 2258
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Devon Rex 0.8999 0.9477 0.9232 2258
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Dilute Calico 0.5097 0.5252 0.5173 2258
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Dilute Tortoiseshell 0.5222 0.6554 0.5813 2258
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Domestic Long Hair 0.3028 0.2298 0.2613 2258
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Domestic Medium Hair 0.1841 0.0523 0.0814 2258
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Domestic Short Hair 0.4478 0.5545 0.4954 2258
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Egyptian Mau 0.6265 0.7710 0.6913 2258
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Exotic Shorthair 0.7441 0.6284 0.6814 2258
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Extra-Toes Cat - Hemingway Polydactyl 0.3140 0.0239 0.0444 2258
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Havana 0.8614 0.9163 0.8880 2258
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Himalayan 0.6332 0.5642 0.5967 2258
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Japanese Bobtail 0.6678 0.5992 0.6317 2258
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Maine Coon 0.3505 0.4774 0.4042 2258
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Manx 0.2857 0.0151 0.0286 2258
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Munchkin 0.4525 0.3268 0.3795 2258
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Nebelung 0.8383 0.9876 0.9069 2258
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Norwegian Forest 0.5138 0.5704 0.5406 2258
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Oriental Short Hair 0.6487 0.1864 0.2896 2258
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Persian 0.7162 0.7174 0.7168 2258
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Ragamuffin 0.7508 0.8260 0.7866 2258
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Ragdoll 0.4466 0.3184 0.3718 2258
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Russian Blue 0.6906 0.8729 0.7711 2258
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Scottish Fold 0.8123 0.7343 0.7713 2258
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Siamese 0.5480 0.4451 0.4912 2258
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Siberian 0.6351 0.6151 0.6250 2258
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Snowshoe 0.6776 0.7569 0.7151 2258
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Sphynx 0.9879 0.9783 0.9831 2258
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Tabby 0.2529 0.2436 0.2481 2258
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Tiger 0.2696 0.5306 0.3575 2258
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Tonkinese 0.6802 0.7205 0.6998 2258
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Torbie 0.4205 0.5527 0.4776 2258
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Tortoiseshell 0.5868 0.7981 0.6763 2258
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Turkish Angora 0.5812 0.6355 0.6072 2258
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Turkish Van 0.4514 0.7321 0.5584 2258
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Tuxedo 0.5041 0.8224 0.6250 2258
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accuracy 0.5950 108384
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macro avg 0.5766 0.5950 0.5666 108384
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weighted avg 0.5766 0.5950 0.5666 108384
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```
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