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--- |
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license: apache-2.0 |
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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 42% 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 0.6361 0.7759 0.6991 241 |
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American Bobtail 0.0000 0.0000 0.0000 248 |
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American Curl 0.6809 0.2550 0.3710 251 |
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American Shorthair 0.0000 0.0000 0.0000 248 |
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Applehead Siamese 0.3728 0.6064 0.4618 249 |
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Balinese 0.4701 0.2614 0.3360 241 |
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Bengal 0.5613 0.6616 0.6073 263 |
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Birman 0.3917 0.7581 0.5165 248 |
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Bombay 0.3054 0.7782 0.4386 248 |
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British Shorthair 0.5455 0.2785 0.3687 237 |
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Burmese 0.8158 0.1297 0.2238 239 |
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Calico 0.4025 0.5394 0.4610 241 |
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Cornish Rex 0.5820 0.8560 0.6929 257 |
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Devon Rex 0.6458 0.1366 0.2255 227 |
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Dilute Calico 0.4589 0.3878 0.4204 245 |
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Dilute Tortoiseshell 0.4237 0.5252 0.4690 238 |
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Domestic Long Hair 0.3600 0.0684 0.1150 263 |
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Domestic Medium Hair 0.0000 0.0000 0.0000 253 |
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Domestic Short Hair 0.4706 0.0325 0.0608 246 |
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Egyptian Mau 0.4410 0.6569 0.5277 239 |
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Exotic Shorthair 0.6333 0.2355 0.3434 242 |
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Extra-Toes Cat - Hemingway Polydactyl 0.5000 0.0041 0.0082 243 |
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Havana 0.5872 0.7710 0.6667 262 |
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Himalayan 0.4856 0.4174 0.4489 242 |
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Japanese Bobtail 0.4167 0.0195 0.0372 257 |
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Maine Coon 0.2584 0.5000 0.3407 246 |
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Manx 0.0000 0.0000 0.0000 262 |
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Munchkin 0.0000 0.0000 0.0000 251 |
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Nebelung 0.5302 0.8906 0.6647 256 |
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Norwegian Forest 0.3478 0.3969 0.3708 262 |
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Oriental Short Hair 0.0000 0.0000 0.0000 226 |
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Persian 0.5506 0.7597 0.6384 258 |
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Ragamuffin 0.5161 0.1255 0.2019 255 |
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Ragdoll 0.3253 0.2143 0.2584 252 |
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Russian Blue 0.5000 0.8474 0.6289 249 |
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Scottish Fold 0.4811 0.6000 0.5340 255 |
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Siamese 0.4444 0.1562 0.2312 256 |
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Siberian 0.4043 0.1538 0.2229 247 |
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Snowshoe 0.4985 0.6760 0.5739 250 |
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Sphynx 0.8799 0.9651 0.9205 258 |
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Tabby 0.1827 0.2159 0.1979 264 |
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Tiger 0.1899 0.5934 0.2877 241 |
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Tonkinese 0.4033 0.5850 0.4774 253 |
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Torbie 0.4000 0.4411 0.4195 263 |
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Tortoiseshell 0.5165 0.8095 0.6306 252 |
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Turkish Angora 0.4239 0.5483 0.4781 259 |
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Turkish Van 0.2866 0.7500 0.4147 256 |
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Tuxedo 0.3407 0.8851 0.4920 261 |
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accuracy 0.4248 12000 |
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macro avg 0.4097 0.4223 0.3642 12000 |
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weighted avg 0.4094 0.4248 0.3658 12000 |
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``` |
