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Detects cat breed (from the list of 48 common breeds) with about 54% accuracy based on image.

See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.

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Classification report:

                                       precision    recall  f1-score   support

                           Abyssinian     0.8923    0.8623    0.8770      2258
                     American Bobtail     0.1518    0.0075    0.0143      2258
                        American Curl     0.6851    0.6656    0.6752      2258
                   American Shorthair     0.1765    0.0053    0.0103      2258
                    Applehead Siamese     0.6047    0.7954    0.6871      2258
                             Balinese     0.5413    0.6417    0.5872      2258
                               Bengal     0.6333    0.6882    0.6596      2258
                               Birman     0.5696    0.7449    0.6456      2258
                               Bombay     0.3566    0.8069    0.4946      2258
                    British Shorthair     0.4887    0.5075    0.4979      2258
                              Burmese     0.7134    0.4486    0.5508      2258
                               Calico     0.4811    0.5762    0.5244      2258
                          Cornish Rex     0.9095    0.9615    0.9348      2258
                            Devon Rex     0.8332    0.8406    0.8369      2258
                        Dilute Calico     0.5115    0.5031    0.5073      2258
                 Dilute Tortoiseshell     0.5105    0.6324    0.5650      2258
                   Domestic Long Hair     0.2847    0.1962    0.2323      2258
                 Domestic Medium Hair     0.1790    0.0416    0.0676      2258
                  Domestic Short Hair     0.3340    0.2759    0.3022      2258
                         Egyptian Mau     0.5581    0.7591    0.6433      2258
                     Exotic Shorthair     0.7646    0.5580    0.6452      2258
Extra-Toes Cat - Hemingway Polydactyl     0.1628    0.0062    0.0119      2258
                               Havana     0.7700    0.9088    0.8336      2258
                            Himalayan     0.6097    0.5306    0.5674      2258
                     Japanese Bobtail     0.4770    0.2945    0.3642      2258
                           Maine Coon     0.3108    0.4420    0.3650      2258
                                 Manx     0.2090    0.0124    0.0234      2258
                             Munchkin     0.3973    0.1457    0.2132      2258
                             Nebelung     0.7943    0.9730    0.8746      2258
                     Norwegian Forest     0.4928    0.5279    0.5097      2258
                  Oriental Short Hair     0.5019    0.0571    0.1026      2258
                              Persian     0.6727    0.7290    0.6997      2258
                           Ragamuffin     0.6007    0.6528    0.6256      2258
                              Ragdoll     0.4194    0.2684    0.3273      2258
                         Russian Blue     0.6448    0.8787    0.7438      2258
                        Scottish Fold     0.7533    0.7250    0.7389      2258
                              Siamese     0.4763    0.3295    0.3895      2258
                             Siberian     0.5214    0.4535    0.4851      2258
                             Snowshoe     0.6118    0.7600    0.6779      2258
                               Sphynx     0.9830    0.9717    0.9773      2258
                                Tabby     0.2134    0.2405    0.2262      2258
                                Tiger     0.2582    0.5390    0.3492      2258
                            Tonkinese     0.5840    0.6063    0.5950      2258
                               Torbie     0.4101    0.5447    0.4679      2258
                        Tortoiseshell     0.5676    0.7883    0.6600      2258
                       Turkish Angora     0.5384    0.5771    0.5571      2258
                          Turkish Van     0.3731    0.7418    0.4964      2258
                               Tuxedo     0.4403    0.8419    0.5782      2258

                             accuracy                         0.5430    108384
                            macro avg     0.5203    0.5430    0.5087    108384
                         weighted avg     0.5203    0.5430    0.5087    108384
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