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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 74% 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 0.9709 0.9322 0.9512 2258
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American Bobtail 0.3353 0.3583 0.3464 2258
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American Curl 0.9256 0.9088 0.9171 2258
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American Shorthair 0.1887 0.0310 0.0533 2258
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Applehead Siamese 0.9791 0.9942 0.9866 2258
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Balinese 0.8862 0.9380 0.9114 2258
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Bengal 0.7284 0.7591 0.7434 2258
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Birman 0.8283 0.8955 0.8606 2258
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Bombay 0.5685 0.8565 0.6834 2258
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British Shorthair 0.7537 0.7750 0.7642 2258
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Burmese 0.8872 0.9088 0.8978 2258
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Calico 0.5909 0.6191 0.6047 2258
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Cornish Rex 0.9929 0.9903 0.9916 2258
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Devon Rex 0.9737 1.0000 0.9867 2258
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Dilute Calico 0.5948 0.5376 0.5648 2258
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Dilute Tortoiseshell 0.5658 0.6794 0.6174 2258
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Domestic Long Hair 0.3834 0.3224 0.3503 2258
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Domestic Medium Hair 0.2600 0.1032 0.1477 2258
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Domestic Short Hair 0.8951 0.9863 0.9385 2258
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Egyptian Mau 0.8504 0.8911 0.8702 2258
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Exotic Shorthair 0.8426 0.7755 0.8077 2258
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Extra-Toes Cat - Hemingway Polydactyl 0.3654 0.1413 0.2038 2258
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Havana 0.9757 0.9761 0.9759 2258
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Himalayan 0.7650 0.6833 0.7219 2258
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Japanese Bobtail 0.9595 0.9761 0.9677 2258
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Maine Coon 0.4799 0.6134 0.5385 2258
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Manx 0.3624 0.0735 0.1222 2258
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Munchkin 0.8802 0.9566 0.9168 2258
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Nebelung 0.9614 0.9929 0.9769 2258
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Norwegian Forest 0.7638 0.8020 0.7825 2258
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Oriental Short Hair 0.7876 0.6833 0.7318 2258
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Persian 0.8110 0.7640 0.7868 2258
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Ragamuffin 0.9584 0.9885 0.9732 2258
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Ragdoll 0.6155 0.5452 0.5782 2258
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Russian Blue 0.7915 0.9114 0.8473 2258
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Scottish Fold 0.9600 0.8818 0.9192 2258
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Siamese 0.7236 0.7002 0.7117 2258
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Siberian 0.9279 0.9570 0.9422 2258
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Snowshoe 0.8144 0.8140 0.8142 2258
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Sphynx 0.9956 0.9920 0.9938 2258
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Tabby 0.3282 0.3211 0.3246 2258
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Tiger 0.3558 0.5850 0.4425 2258
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Tonkinese 0.9481 0.9309 0.9394 2258
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Torbie 0.5147 0.6182 0.5618 2258
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Tortoiseshell 0.6341 0.7950 0.7054 2258
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Turkish Angora 0.7045 0.7919 0.7456 2258
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Turkish Van 0.7082 0.8880 0.7880 2258
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Tuxedo 0.5952 0.8375 0.6959 2258
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accuracy 0.7392 108384
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macro avg 0.7227 0.7392 0.7230 108384
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weighted avg 0.7227 0.7392 0.7230 108384
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```
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