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license: apache-2.0
metrics:
  - accuracy
  - f1

Detects cat breed (from the list of 48 common breeds) with about 70% accuracy based on image.

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

image/png

Classification report:

                                       precision    recall  f1-score   support

                           Abyssinian     0.9691    0.9039    0.9354      2258
                     American Bobtail     0.2961    0.1940    0.2344      2258
                        American Curl     0.8650    0.8485    0.8567      2258
                   American Shorthair     0.2030    0.0244    0.0435      2258
                    Applehead Siamese     0.9683    0.9867    0.9774      2258
                             Balinese     0.8031    0.8942    0.8462      2258
                               Bengal     0.7085    0.7427    0.7252      2258
                               Birman     0.7628    0.8561    0.8068      2258
                               Bombay     0.5053    0.8592    0.6364      2258
                    British Shorthair     0.6634    0.6931    0.6779      2258
                              Burmese     0.8347    0.8273    0.8310      2258
                               Calico     0.5736    0.5952    0.5842      2258
                          Cornish Rex     0.9851    0.9925    0.9887      2258
                            Devon Rex     0.9668    0.9925    0.9795      2258
                        Dilute Calico     0.5681    0.5580    0.5630      2258
                 Dilute Tortoiseshell     0.5614    0.6798    0.6150      2258
                   Domestic Long Hair     0.3526    0.3029    0.3259      2258
                 Domestic Medium Hair     0.2225    0.0903    0.1285      2258
                  Domestic Short Hair     0.7859    0.9690    0.8679      2258
                         Egyptian Mau     0.8096    0.8570    0.8326      2258
                     Exotic Shorthair     0.8297    0.6838    0.7497      2258
Extra-Toes Cat - Hemingway Polydactyl     0.3105    0.0864    0.1351      2258
                               Havana     0.9670    0.9597    0.9633      2258
                            Himalayan     0.7133    0.6457    0.6778      2258
                     Japanese Bobtail     0.8707    0.9420    0.9049      2258
                           Maine Coon     0.4207    0.5850    0.4894      2258
                                 Manx     0.3450    0.0394    0.0707      2258
                             Munchkin     0.7230    0.8171    0.7672      2258
                             Nebelung     0.9410    0.9889    0.9644      2258
                     Norwegian Forest     0.7185    0.6975    0.7079      2258
                  Oriental Short Hair     0.6909    0.5089    0.5861      2258
                              Persian     0.7677    0.7595    0.7636      2258
                           Ragamuffin     0.9238    0.9774    0.9499      2258
                              Ragdoll     0.5908    0.4712    0.5243      2258
                         Russian Blue     0.7587    0.9039    0.8250      2258
                        Scottish Fold     0.9108    0.8361    0.8719      2258
                              Siamese     0.6623    0.6072    0.6335      2258
                             Siberian     0.8566    0.9181    0.8863      2258
                             Snowshoe     0.7697    0.7728    0.7713      2258
                               Sphynx     0.9955    0.9876    0.9916      2258
                                Tabby     0.3015    0.3158    0.3085      2258
                                Tiger     0.3379    0.5598    0.4214      2258
                            Tonkinese     0.8897    0.9145    0.9019      2258
                               Torbie     0.5011    0.6014    0.5467      2258
                        Tortoiseshell     0.6374    0.7972    0.7084      2258
                       Turkish Angora     0.6689    0.7166    0.6919      2258
                          Turkish Van     0.6129    0.8268    0.7040      2258
                               Tuxedo     0.5709    0.8184    0.6726      2258

                             accuracy                         0.7001    108384
                            macro avg     0.6811    0.7001    0.6801    108384
                         weighted avg     0.6811    0.7001    0.6801    108384