dima806/cat_breed_image_detection

Detects cat breed (from the list of 48 common breeds) with about 77% accuracy based on image.

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

Classification report:

                                       precision    recall  f1-score   support

                           Abyssinian     0.9771    0.9628    0.9699      2258
                     American Bobtail     0.3837    0.4956    0.4325      2258
                        American Curl     0.9434    0.9376    0.9405      2258
                   American Shorthair     0.2603    0.0558    0.0919      2258
                    Applehead Siamese     0.9825    0.9920    0.9872      2258
                             Balinese     0.9191    0.9606    0.9394      2258
                               Bengal     0.7666    0.7724    0.7695      2258
                               Birman     0.8913    0.9371    0.9136      2258
                               Bombay     0.6471    0.8893    0.7491      2258
                    British Shorthair     0.7879    0.8720    0.8278      2258
                              Burmese     0.9124    0.9544    0.9329      2258
                               Calico     0.6144    0.6492    0.6314      2258
                          Cornish Rex     0.9960    0.9849    0.9904      2258
                            Devon Rex     0.9856    1.0000    0.9927      2258
                        Dilute Calico     0.6094    0.5540    0.5804      2258
                 Dilute Tortoiseshell     0.5747    0.7037    0.6327      2258
                   Domestic Long Hair     0.4103    0.3392    0.3714      2258
                 Domestic Medium Hair     0.2805    0.1120    0.1601      2258
                  Domestic Short Hair     0.9490    0.9810    0.9647      2258
                         Egyptian Mau     0.8900    0.9243    0.9068      2258
                     Exotic Shorthair     0.8720    0.8233    0.8469      2258
Extra-Toes Cat - Hemingway Polydactyl     0.3899    0.2055    0.2691      2258
                               Havana     0.9811    0.9889    0.9850      2258
                            Himalayan     0.8022    0.7201    0.7589      2258
                     Japanese Bobtail     0.9799    0.9725    0.9762      2258
                           Maine Coon     0.5321    0.6833    0.5983      2258
                                 Manx     0.3942    0.1147    0.1777      2258
                             Munchkin     0.9325    0.9544    0.9433      2258
                             Nebelung     0.9639    0.9938    0.9786      2258
                     Norwegian Forest     0.8280    0.8463    0.8371      2258
                  Oriental Short Hair     0.8772    0.8096    0.8420      2258
                              Persian     0.8302    0.8012    0.8154      2258
                           Ragamuffin     0.9641    0.9872    0.9755      2258
                              Ragdoll     0.6866    0.6501    0.6679      2258
                         Russian Blue     0.8215    0.9256    0.8705      2258
                        Scottish Fold     0.9728    0.9181    0.9446      2258
                              Siamese     0.7649    0.7551    0.7600      2258
                             Siberian     0.9636    0.9619    0.9628      2258
                             Snowshoe     0.8389    0.8140    0.8263      2258
                               Sphynx     0.9942    0.9903    0.9922      2258
                                Tabby     0.3533    0.3441    0.3487      2258
                                Tiger     0.4071    0.6076    0.4876      2258
                            Tonkinese     0.9613    0.9464    0.9538      2258
                               Torbie     0.5544    0.6568    0.6013      2258
                        Tortoiseshell     0.6667    0.8122    0.7323      2258
                       Turkish Angora     0.7328    0.8308    0.7787      2258
                          Turkish Van     0.7658    0.9225    0.8369      2258
                               Tuxedo     0.6491    0.8357    0.7307      2258

                             accuracy                         0.7698    108384
                            macro avg     0.7554    0.7698    0.7559    108384
                         weighted avg     0.7554    0.7698    0.7559    108384