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license: apache-2.0
metrics:
  - accuracy
  - f1

Detects cat breed (from the list of 48 common breeds) with about 57% 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     0.8977    0.8702    0.8837      2258
                     American Bobtail     0.2755    0.0239    0.0440      2258
                        American Curl     0.7098    0.7095    0.7096      2258
                   American Shorthair     0.1571    0.0049    0.0095      2258
                    Applehead Siamese     0.7092    0.8685    0.7808      2258
                             Balinese     0.5762    0.7064    0.6347      2258
                               Bengal     0.6352    0.6887    0.6609      2258
                               Birman     0.6065    0.7631    0.6758      2258
                               Bombay     0.3749    0.8074    0.5120      2258
                    British Shorthair     0.4925    0.5381    0.5143      2258
                              Burmese     0.7020    0.5226    0.5991      2258
                               Calico     0.5012    0.5771    0.5364      2258
                          Cornish Rex     0.9193    0.9783    0.9479      2258
                            Devon Rex     0.8949    0.9052    0.9000      2258
                        Dilute Calico     0.5114    0.5248    0.5180      2258
                 Dilute Tortoiseshell     0.5352    0.6399    0.5829      2258
                   Domestic Long Hair     0.3023    0.2059    0.2450      2258
                 Domestic Medium Hair     0.1832    0.0474    0.0753      2258
                  Domestic Short Hair     0.3968    0.4172    0.4067      2258
                         Egyptian Mau     0.5752    0.7693    0.6582      2258
                     Exotic Shorthair     0.7728    0.6129    0.6836      2258
Extra-Toes Cat - Hemingway Polydactyl     0.3140    0.0120    0.0230      2258
                               Havana     0.8387    0.9119    0.8738      2258
                            Himalayan     0.6289    0.5585    0.5916      2258
                     Japanese Bobtail     0.5625    0.4725    0.5136      2258
                           Maine Coon     0.3404    0.4579    0.3905      2258
                                 Manx     0.3458    0.0164    0.0313      2258
                             Munchkin     0.3607    0.1789    0.2392      2258
                             Nebelung     0.8163    0.9801    0.8907      2258
                     Norwegian Forest     0.5116    0.5673    0.5380      2258
                  Oriental Short Hair     0.5617    0.1209    0.1990      2258
                              Persian     0.7012    0.7400    0.7201      2258
                           Ragamuffin     0.6765    0.7493    0.7111      2258
                              Ragdoll     0.4349    0.2781    0.3393      2258
                         Russian Blue     0.6830    0.8787    0.7685      2258
                        Scottish Fold     0.7892    0.7396    0.7636      2258
                              Siamese     0.4964    0.3946    0.4397      2258
                             Siberian     0.6057    0.5469    0.5748      2258
                             Snowshoe     0.6694    0.7507    0.7077      2258
                               Sphynx     0.9923    0.9672    0.9796      2258
                                Tabby     0.2321    0.2321    0.2321      2258
                                Tiger     0.2584    0.5341    0.3483      2258
                            Tonkinese     0.6512    0.6829    0.6667      2258
                               Torbie     0.4240    0.5562    0.4812      2258
                        Tortoiseshell     0.5691    0.7843    0.6596      2258
                       Turkish Angora     0.5490    0.6125    0.5790      2258
                          Turkish Van     0.4218    0.7409    0.5376      2258
                               Tuxedo     0.4602    0.8255    0.5910      2258

                             accuracy                         0.5723    108384
                            macro avg     0.5547    0.5723    0.5410    108384
                         weighted avg     0.5547    0.5723    0.5410    108384