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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     0.9563    0.9101    0.9326      2258
                     American Bobtail     0.2963    0.2170    0.2505      2258
                        American Curl     0.8700    0.8680    0.8690      2258
                   American Shorthair     0.2165    0.0279    0.0494      2258
                    Applehead Siamese     0.9602    0.9827    0.9713      2258
                             Balinese     0.8511    0.8933    0.8717      2258
                               Bengal     0.7104    0.7431    0.7264      2258
                               Birman     0.7758    0.8565    0.8141      2258
                               Bombay     0.5275    0.8370    0.6471      2258
                    British Shorthair     0.7037    0.7077    0.7057      2258
                              Burmese     0.8306    0.8663    0.8480      2258
                               Calico     0.5647    0.6045    0.5840      2258
                          Cornish Rex     0.9912    0.9929    0.9920      2258
                            Devon Rex     0.9690    0.9960    0.9823      2258
                        Dilute Calico     0.5708    0.5496    0.5600      2258
                 Dilute Tortoiseshell     0.5650    0.6643    0.6106      2258
                   Domestic Long Hair     0.3461    0.2843    0.3122      2258
                 Domestic Medium Hair     0.2188    0.0855    0.1229      2258
                  Domestic Short Hair     0.8187    0.9739    0.8896      2258
                         Egyptian Mau     0.8025    0.8441    0.8228      2258
                     Exotic Shorthair     0.8507    0.7117    0.7750      2258
Extra-Toes Cat - Hemingway Polydactyl     0.3025    0.0957    0.1454      2258
                               Havana     0.9669    0.9690    0.9679      2258
                            Himalayan     0.7094    0.6594    0.6835      2258
                     Japanese Bobtail     0.8946    0.9584    0.9254      2258
                           Maine Coon     0.4325    0.5872    0.4981      2258
                                 Manx     0.3381    0.0421    0.0748      2258
                             Munchkin     0.7435    0.8601    0.7975      2258
                             Nebelung     0.9363    0.9894    0.9621      2258
                     Norwegian Forest     0.7042    0.7414    0.7223      2258
                  Oriental Short Hair     0.6729    0.5257    0.5903      2258
                              Persian     0.7815    0.7586    0.7699      2258
                           Ragamuffin     0.9286    0.9677    0.9477      2258
                              Ragdoll     0.5767    0.4863    0.5276      2258
                         Russian Blue     0.7660    0.9105    0.8321      2258
                        Scottish Fold     0.9232    0.8406    0.8799      2258
                              Siamese     0.6758    0.6027    0.6372      2258
                             Siberian     0.8686    0.9278    0.8972      2258
                             Snowshoe     0.7758    0.7817    0.7787      2258
                               Sphynx     0.9951    0.9827    0.9889      2258
                                Tabby     0.3106    0.3167    0.3136      2258
                                Tiger     0.3337    0.5474    0.4146      2258
                            Tonkinese     0.8848    0.9119    0.8981      2258
                               Torbie     0.5020    0.6010    0.5471      2258
                        Tortoiseshell     0.6303    0.8012    0.7055      2258
                       Turkish Angora     0.6615    0.7347    0.6962      2258
                          Turkish Van     0.6175    0.8251    0.7064      2258
                               Tuxedo     0.5743    0.8251    0.6772      2258

                             accuracy                         0.7055    108384
                            macro avg     0.6855    0.7055    0.6859    108384
                         weighted avg     0.6855    0.7055    0.6859    108384