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license: apache-2.0
metrics:
  - accuracy
  - f1

Detects cat breed (from the list of 48 common breeds) with about 60% 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     0.9149    0.8764    0.8953      2258
                     American Bobtail     0.2478    0.0376    0.0654      2258
                        American Curl     0.7564    0.7343    0.7452      2258
                   American Shorthair     0.1809    0.0075    0.0145      2258
                    Applehead Siamese     0.8128    0.9136    0.8603      2258
                             Balinese     0.6222    0.7609    0.6846      2258
                               Bengal     0.6648    0.6860    0.6752      2258
                               Birman     0.6370    0.7609    0.6934      2258
                               Bombay     0.4154    0.8144    0.5502      2258
                    British Shorthair     0.5378    0.5638    0.5505      2258
                              Burmese     0.7102    0.5775    0.6370      2258
                               Calico     0.5236    0.5757    0.5484      2258
                          Cornish Rex     0.9490    0.9801    0.9643      2258
                            Devon Rex     0.9128    0.9694    0.9403      2258
                        Dilute Calico     0.5113    0.5128    0.5120      2258
                 Dilute Tortoiseshell     0.5205    0.6342    0.5718      2258
                   Domestic Long Hair     0.3203    0.2365    0.2721      2258
                 Domestic Medium Hair     0.1882    0.0633    0.0948      2258
                  Domestic Short Hair     0.4672    0.5744    0.5153      2258
                         Egyptian Mau     0.6108    0.7750    0.6832      2258
                     Exotic Shorthair     0.7661    0.6209    0.6859      2258
Extra-Toes Cat - Hemingway Polydactyl     0.2769    0.0239    0.0440      2258
                               Havana     0.8732    0.9212    0.8966      2258
                            Himalayan     0.6464    0.5992    0.6219      2258
                     Japanese Bobtail     0.6872    0.6120    0.6475      2258
                           Maine Coon     0.3660    0.4978    0.4218      2258
                                 Manx     0.2353    0.0124    0.0236      2258
                             Munchkin     0.4589    0.3459    0.3944      2258
                             Nebelung     0.8493    0.9880    0.9134      2258
                     Norwegian Forest     0.5496    0.5965    0.5721      2258
                  Oriental Short Hair     0.6015    0.2086    0.3098      2258
                              Persian     0.7355    0.7316    0.7336      2258
                           Ragamuffin     0.7505    0.8432    0.7942      2258
                              Ragdoll     0.4728    0.3392    0.3950      2258
                         Russian Blue     0.6985    0.8782    0.7781      2258
                        Scottish Fold     0.8071    0.7524    0.7788      2258
                              Siamese     0.5510    0.4597    0.5012      2258
                             Siberian     0.6699    0.6940    0.6817      2258
                             Snowshoe     0.6898    0.7347    0.7116      2258
                               Sphynx     0.9827    0.9832    0.9830      2258
                                Tabby     0.2534    0.2409    0.2470      2258
                                Tiger     0.2713    0.5182    0.3561      2258
                            Tonkinese     0.6885    0.7675    0.7259      2258
                               Torbie     0.4301    0.5638    0.4879      2258
                        Tortoiseshell     0.5822    0.8047    0.6756      2258
                       Turkish Angora     0.5743    0.6488    0.6093      2258
                          Turkish Van     0.4667    0.7356    0.5711      2258
                               Tuxedo     0.5129    0.8344    0.6353      2258

                             accuracy                         0.6044    108384
                            macro avg     0.5823    0.6044    0.5765    108384
                         weighted avg     0.5823    0.6044    0.5765    108384