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license: apache-2.0
metrics:
  - accuracy
  - f1

Detects cat breed (from the list of 48 common breeds) with about 56% 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     0.8801    0.8645    0.8722      2258
                     American Bobtail     0.2128    0.0133    0.0250      2258
                        American Curl     0.7026    0.6926    0.6976      2258
                   American Shorthair     0.1429    0.0035    0.0069      2258
                    Applehead Siamese     0.6545    0.8499    0.7395      2258
                             Balinese     0.5760    0.6833    0.6251      2258
                               Bengal     0.6397    0.6895    0.6637      2258
                               Birman     0.5926    0.7542    0.6637      2258
                               Bombay     0.3592    0.8206    0.4997      2258
                    British Shorthair     0.4799    0.5226    0.5003      2258
                              Burmese     0.6849    0.4814    0.5654      2258
                               Calico     0.4793    0.5647    0.5185      2258
                          Cornish Rex     0.9154    0.9681    0.9410      2258
                            Devon Rex     0.8666    0.9004    0.8831      2258
                        Dilute Calico     0.5093    0.5093    0.5093      2258
                 Dilute Tortoiseshell     0.5234    0.6528    0.5810      2258
                   Domestic Long Hair     0.3073    0.2037    0.2450      2258
                 Domestic Medium Hair     0.1608    0.0407    0.0650      2258
                  Domestic Short Hair     0.3729    0.3702    0.3716      2258
                         Egyptian Mau     0.5817    0.7569    0.6578      2258
                     Exotic Shorthair     0.7603    0.5815    0.6590      2258
Extra-Toes Cat - Hemingway Polydactyl     0.1646    0.0058    0.0111      2258
                               Havana     0.8038    0.9070    0.8523      2258
                            Himalayan     0.6036    0.5368    0.5682      2258
                     Japanese Bobtail     0.5208    0.3663    0.4301      2258
                           Maine Coon     0.3204    0.4570    0.3767      2258
                                 Manx     0.2562    0.0137    0.0261      2258
                             Munchkin     0.3862    0.1811    0.2466      2258
                             Nebelung     0.8079    0.9761    0.8841      2258
                     Norwegian Forest     0.5054    0.5412    0.5227      2258
                  Oriental Short Hair     0.5240    0.0775    0.1350      2258
                              Persian     0.6828    0.7329    0.7070      2258
                           Ragamuffin     0.6560    0.7002    0.6774      2258
                              Ragdoll     0.4254    0.2865    0.3424      2258
                         Russian Blue     0.6680    0.8804    0.7596      2258
                        Scottish Fold     0.7794    0.7276    0.7526      2258
                              Siamese     0.5331    0.3601    0.4298      2258
                             Siberian     0.5416    0.4956    0.5176      2258
                             Snowshoe     0.6354    0.7595    0.6920      2258
                               Sphynx     0.9846    0.9601    0.9722      2258
                                Tabby     0.2326    0.2498    0.2409      2258
                                Tiger     0.2597    0.5288    0.3483      2258
                            Tonkinese     0.6156    0.6355    0.6254      2258
                               Torbie     0.4152    0.5288    0.4651      2258
                        Tortoiseshell     0.5623    0.7936    0.6582      2258
                       Turkish Angora     0.5452    0.5952    0.5691      2258
                          Turkish Van     0.3999    0.7338    0.5177      2258
                               Tuxedo     0.4603    0.8388    0.5944      2258

                             accuracy                         0.5582    108384
                            macro avg     0.5352    0.5582    0.5253    108384
                         weighted avg     0.5352    0.5582    0.5253    108384