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Detects cat breed (from the list of 48 common breeds) with about 43% 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     0.6947    0.8233    0.7535      2258
                     American Bobtail     0.3333    0.0018    0.0035      2258
                        American Curl     0.6435    0.3446    0.4488      2258
                   American Shorthair     0.1395    0.0027    0.0052      2258
                    Applehead Siamese     0.3755    0.6196    0.4676      2258
                             Balinese     0.4158    0.2963    0.3460      2258
                               Bengal     0.5466    0.6577    0.5970      2258
                               Birman     0.3819    0.7272    0.5008      2258
                               Bombay     0.3127    0.7901    0.4480      2258
                    British Shorthair     0.5580    0.3366    0.4199      2258
                              Burmese     0.8392    0.1594    0.2680      2258
                               Calico     0.4072    0.5137    0.4543      2258
                          Cornish Rex     0.6047    0.8866    0.7190      2258
                            Devon Rex     0.7245    0.2422    0.3631      2258
                        Dilute Calico     0.5029    0.3897    0.4391      2258
                 Dilute Tortoiseshell     0.4874    0.5979    0.5370      2258
                   Domestic Long Hair     0.2905    0.0802    0.1257      2258
                 Domestic Medium Hair     0.1944    0.0124    0.0233      2258
                  Domestic Short Hair     0.2117    0.0288    0.0507      2258
                         Egyptian Mau     0.4349    0.6749    0.5290      2258
                     Exotic Shorthair     0.6971    0.2741    0.3935      2258
Extra-Toes Cat - Hemingway Polydactyl     0.1143    0.0018    0.0035      2258
                               Havana     0.5774    0.8198    0.6775      2258
                            Himalayan     0.5242    0.4172    0.4646      2258
                     Japanese Bobtail     0.4000    0.0496    0.0883      2258
                           Maine Coon     0.2529    0.4584    0.3259      2258
                                 Manx     0.0857    0.0027    0.0052      2258
                             Munchkin     0.0000    0.0000    0.0000      2258
                             Nebelung     0.6049    0.8707    0.7139      2258
                     Norwegian Forest     0.3543    0.4460    0.3949      2258
                  Oriental Short Hair     0.5000    0.0018    0.0035      2258
                              Persian     0.5561    0.7462    0.6373      2258
                           Ragamuffin     0.4584    0.1537    0.2302      2258
                              Ragdoll     0.3513    0.2365    0.2827      2258
                         Russian Blue     0.5320    0.8871    0.6651      2258
                        Scottish Fold     0.4916    0.6346    0.5540      2258
                              Siamese     0.3817    0.1386    0.2034      2258
                             Siberian     0.4182    0.2387    0.3039      2258
                             Snowshoe     0.5316    0.6816    0.5973      2258
                               Sphynx     0.9003    0.9641    0.9311      2258
                                Tabby     0.1817    0.2064    0.1933      2258
                                Tiger     0.1910    0.5567    0.2845      2258
                            Tonkinese     0.3995    0.5306    0.4558      2258
                               Torbie     0.3912    0.4570    0.4216      2258
                        Tortoiseshell     0.5075    0.7981    0.6204      2258
                       Turkish Angora     0.4470    0.5620    0.4979      2258
                          Turkish Van     0.2795    0.7108    0.4012      2258
                               Tuxedo     0.3454    0.8800    0.4961      2258

                             accuracy                         0.4356    108384
                            macro avg     0.4286    0.4356    0.3822    108384
                         weighted avg     0.4286    0.4356    0.3822    108384
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