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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 55% 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 0.8983 0.8649 0.8813 2258
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American Bobtail 0.2308 0.0133 0.0251 2258
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American Curl 0.7037 0.6847 0.6941 2258
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American Shorthair 0.1644 0.0053 0.0103 2258
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Applehead Siamese 0.6333 0.8091 0.7105 2258
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Balinese 0.5576 0.6581 0.6037 2258
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Bengal 0.6294 0.6723 0.6501 2258
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Birman 0.5597 0.7498 0.6409 2258
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Bombay 0.3558 0.8242 0.4970 2258
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British Shorthair 0.4750 0.5208 0.4968 2258
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Burmese 0.7027 0.4752 0.5670 2258
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Calico 0.5045 0.5895 0.5437 2258
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Cornish Rex 0.9115 0.9624 0.9362 2258
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Devon Rex 0.8425 0.8694 0.8557 2258
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Dilute Calico 0.5127 0.5089 0.5108 2258
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Dilute Tortoiseshell 0.5051 0.6329 0.5618 2258
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Domestic Long Hair 0.3007 0.2108 0.2479 2258
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Domestic Medium Hair 0.1792 0.0421 0.0681 2258
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Domestic Short Hair 0.3914 0.3503 0.3697 2258
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Egyptian Mau 0.5537 0.7666 0.6430 2258
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Exotic Shorthair 0.7503 0.5762 0.6518 2258
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Extra-Toes Cat - Hemingway Polydactyl 0.3380 0.0106 0.0206 2258
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Havana 0.8168 0.9021 0.8573 2258
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Himalayan 0.6162 0.5248 0.5669 2258
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Japanese Bobtail 0.5203 0.3627 0.4275 2258
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Maine Coon 0.3236 0.4535 0.3777 2258
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Manx 0.2358 0.0128 0.0244 2258
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Munchkin 0.4241 0.1670 0.2396 2258
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Nebelung 0.7919 0.9774 0.8749 2258
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Norwegian Forest 0.5138 0.5195 0.5166 2258
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Oriental Short Hair 0.5211 0.0655 0.1164 2258
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Persian 0.6851 0.7507 0.7164 2258
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Ragamuffin 0.6342 0.6864 0.6593 2258
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Ragdoll 0.4300 0.2896 0.3461 2258
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Russian Blue 0.6570 0.8671 0.7476 2258
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Scottish Fold 0.7739 0.7245 0.7484 2258
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Siamese 0.5061 0.3463 0.4113 2258
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Siberian 0.5435 0.4978 0.5196 2258
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Snowshoe 0.6384 0.7529 0.6909 2258
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Sphynx 0.9846 0.9650 0.9747 2258
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Tabby 0.2248 0.2400 0.2322 2258
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Tiger 0.2536 0.5155 0.3400 2258
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Tonkinese 0.5999 0.5983 0.5991 2258
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Torbie 0.4202 0.5611 0.4806 2258
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Tortoiseshell 0.5687 0.7989 0.6645 2258
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Turkish Angora 0.5307 0.5903 0.5589 2258
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Turkish Van 0.3833 0.7294 0.5025 2258
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Tuxedo 0.4432 0.8459 0.5816 2258
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accuracy 0.5530 108384
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macro avg 0.5363 0.5530 0.5200 108384
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weighted avg 0.5363 0.5530 0.5200 108384
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```
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