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license: apache-2.0
metrics:
  - accuracy
  - f1

Detects cat breed (from the list of 48 common breeds) with about 64% 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     0.9327    0.8906    0.9112      2258
                     American Bobtail     0.2247    0.0660    0.1020      2258
                        American Curl     0.7960    0.7759    0.7858      2258
                   American Shorthair     0.1830    0.0124    0.0232      2258
                    Applehead Siamese     0.9110    0.9606    0.9351      2258
                             Balinese     0.7051    0.8260    0.7608      2258
                               Bengal     0.6911    0.7064    0.6986      2258
                               Birman     0.6780    0.7927    0.7309      2258
                               Bombay     0.4616    0.8304    0.5934      2258
                    British Shorthair     0.5692    0.5903    0.5796      2258
                              Burmese     0.7565    0.6727    0.7121      2258
                               Calico     0.5396    0.5709    0.5548      2258
                          Cornish Rex     0.9664    0.9934    0.9797      2258
                            Devon Rex     0.9263    0.9849    0.9547      2258
                        Dilute Calico     0.5293    0.5483    0.5386      2258
                 Dilute Tortoiseshell     0.5257    0.6426    0.5783      2258
                   Domestic Long Hair     0.3228    0.2409    0.2759      2258
                 Domestic Medium Hair     0.2216    0.0762    0.1134      2258
                  Domestic Short Hair     0.5714    0.8029    0.6676      2258
                         Egyptian Mau     0.6817    0.7985    0.7355      2258
                     Exotic Shorthair     0.8159    0.6399    0.7173      2258
Extra-Toes Cat - Hemingway Polydactyl     0.2649    0.0394    0.0686      2258
                               Havana     0.9149    0.9424    0.9284      2258
                            Himalayan     0.6532    0.5948    0.6226      2258
                     Japanese Bobtail     0.7469    0.8286    0.7856      2258
                           Maine Coon     0.3841    0.5208    0.4421      2258
                                 Manx     0.3500    0.0186    0.0353      2258
                             Munchkin     0.5473    0.5531    0.5502      2258
                             Nebelung     0.8739    0.9942    0.9302      2258
                     Norwegian Forest     0.5680    0.6306    0.5977      2258
                  Oriental Short Hair     0.5787    0.2817    0.3789      2258
                              Persian     0.7589    0.7400    0.7493      2258
                           Ragamuffin     0.8528    0.9265    0.8881      2258
                              Ragdoll     0.4930    0.3574    0.4144      2258
                         Russian Blue     0.7198    0.8862    0.7944      2258
                        Scottish Fold     0.8504    0.7830    0.8153      2258
                              Siamese     0.5953    0.5146    0.5520      2258
                             Siberian     0.7457    0.8051    0.7743      2258
                             Snowshoe     0.7100    0.7471    0.7281      2258
                               Sphynx     0.9955    0.9743    0.9848      2258
                                Tabby     0.2653    0.2551    0.2601      2258
                                Tiger     0.2880    0.5354    0.3745      2258
                            Tonkinese     0.7876    0.8357    0.8109      2258
                               Torbie     0.4648    0.5762    0.5145      2258
                        Tortoiseshell     0.5894    0.8016    0.6793      2258
                       Turkish Angora     0.6048    0.6621    0.6321      2258
                          Turkish Van     0.5475    0.7484    0.6324      2258
                               Tuxedo     0.5405    0.8096    0.6482      2258

                             accuracy                         0.6414    108384
                            macro avg     0.6188    0.6414    0.6154    108384
                         weighted avg     0.6188    0.6414    0.6154    108384