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license: apache-2.0
metrics:
  - accuracy
  - f1

Detects cat breed (from the list of 48 common breeds) with about 75% 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     0.9769    0.9553    0.9660      2258
                     American Bobtail     0.3553    0.4411    0.3936      2258
                        American Curl     0.9262    0.9119    0.9190      2258
                   American Shorthair     0.1971    0.0363    0.0613      2258
                    Applehead Siamese     0.9744    0.9934    0.9838      2258
                             Balinese     0.9130    0.9531    0.9326      2258
                               Bengal     0.7582    0.7817    0.7697      2258
                               Birman     0.8562    0.9336    0.8932      2258
                               Bombay     0.6105    0.8503    0.7107      2258
                    British Shorthair     0.7703    0.8450    0.8059      2258
                              Burmese     0.9125    0.9371    0.9246      2258
                               Calico     0.6105    0.6191    0.6148      2258
                          Cornish Rex     0.9938    0.9903    0.9920      2258
                            Devon Rex     0.9783    1.0000    0.9890      2258
                        Dilute Calico     0.5986    0.5793    0.5888      2258
                 Dilute Tortoiseshell     0.5690    0.6997    0.6276      2258
                   Domestic Long Hair     0.3888    0.3299    0.3570      2258
                 Domestic Medium Hair     0.2795    0.1112    0.1591      2258
                  Domestic Short Hair     0.9348    0.9721    0.9531      2258
                         Egyptian Mau     0.8779    0.9105    0.8939      2258
                     Exotic Shorthair     0.8743    0.7976    0.8342      2258
Extra-Toes Cat - Hemingway Polydactyl     0.3800    0.1802    0.2445      2258
                               Havana     0.9791    0.9752    0.9771      2258
                            Himalayan     0.7904    0.6949    0.7396      2258
                     Japanese Bobtail     0.9732    0.9655    0.9693      2258
                           Maine Coon     0.4974    0.6408    0.5601      2258
                                 Manx     0.3724    0.0957    0.1522      2258
                             Munchkin     0.9190    0.9544    0.9363      2258
                             Nebelung     0.9619    0.9938    0.9776      2258
                     Norwegian Forest     0.8022    0.8299    0.8158      2258
                  Oriental Short Hair     0.8318    0.7622    0.7955      2258
                              Persian     0.8089    0.7834    0.7960      2258
                           Ragamuffin     0.9624    0.9748    0.9685      2258
                              Ragdoll     0.6393    0.6129    0.6258      2258
                         Russian Blue     0.8078    0.9101    0.8559      2258
                        Scottish Fold     0.9755    0.8809    0.9258      2258
                              Siamese     0.7387    0.7387    0.7387      2258
                             Siberian     0.9499    0.9486    0.9493      2258
                             Snowshoe     0.8175    0.7914    0.8042      2258
                               Sphynx     0.9964    0.9889    0.9927      2258
                                Tabby     0.3495    0.3446    0.3470      2258
                                Tiger     0.3954    0.5952    0.4752      2258
                            Tonkinese     0.9614    0.9384    0.9498      2258
                               Torbie     0.5306    0.6408    0.5805      2258
                        Tortoiseshell     0.6590    0.8038    0.7243      2258
                       Turkish Angora     0.7248    0.8118    0.7658      2258
                          Turkish Van     0.7342    0.8955    0.8069      2258
                               Tuxedo     0.6181    0.8481    0.7151      2258

                             accuracy                         0.7552    108384
                            macro avg     0.7403    0.7552    0.7408    108384
                         weighted avg     0.7403    0.7552    0.7408    108384