transformers safetensors vit image-classification base_model:google/vit-base-patch16-224-in21k base_model:finetune:google/vit-base-patch16-224-in21k license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model:
- google/vit-base-patch16-224-in21k
license: apache-2.0
metrics:
- accuracy
- f1
---
Returns a common mammal type given an image with about 96% accuracy.

See https://www.kaggle.com/code/dima806/mammals-45-types-image-classification-vit for more details.

```
Classification report:

                  precision    recall  f1-score   support

african_elephant     1.0000    1.0000    1.0000        71
          alpaca     0.9200    0.9718    0.9452        71
  american_bison     1.0000    1.0000    1.0000        71
        anteater     0.9853    0.9437    0.9640        71
      arctic_fox     0.9286    0.9155    0.9220        71
       armadillo     0.9726    1.0000    0.9861        71
          baboon     0.9718    0.9718    0.9718        71
          badger     1.0000    0.9718    0.9857        71
      blue_whale     0.9710    0.9437    0.9571        71
      brown_bear     0.9722    0.9859    0.9790        71
           camel     0.9861    1.0000    0.9930        71
         dolphin     0.8974    0.9859    0.9396        71
         giraffe     0.9857    0.9718    0.9787        71
       groundhog     0.9714    0.9577    0.9645        71
 highland_cattle     0.9859    0.9859    0.9859        71
           horse     1.0000    0.9859    0.9929        71
          jackal     0.9577    0.9444    0.9510        72
        kangaroo     0.8415    0.9583    0.8961        72
           koala     0.9589    0.9859    0.9722        71
         manatee     0.9861    0.9861    0.9861        72
        mongoose     0.9483    0.7746    0.8527        71
   mountain_goat     0.9855    0.9577    0.9714        71
         opossum     1.0000    0.9577    0.9784        71
       orangutan     1.0000    1.0000    1.0000        71
           otter     1.0000    0.9577    0.9784        71
      polar_bear     0.9706    0.9296    0.9496        71
       porcupine     1.0000    0.9722    0.9859        72
       red_panda     0.9718    0.9718    0.9718        71
      rhinoceros     0.9859    0.9859    0.9859        71
        sea_lion     0.7600    0.8028    0.7808        71
            seal     0.8308    0.7500    0.7883        72
    snow_leopard     1.0000    1.0000    1.0000        71
        squirrel     0.9444    0.9577    0.9510        71
    sugar_glider     0.8554    1.0000    0.9221        71
           tapir     1.0000    1.0000    1.0000        71
     vampire_bat     1.0000    0.9861    0.9930        72
          vicuna     1.0000    0.8873    0.9403        71
          walrus     0.9342    0.9861    0.9595        72
         warthog     0.9571    0.9437    0.9504        71
   water_buffalo     0.9333    0.9859    0.9589        71
          weasel     0.9583    0.9583    0.9583        72
      wildebeest     0.9577    0.9444    0.9510        72
          wombat     0.8947    0.9577    0.9252        71
             yak     1.0000    0.9437    0.9710        71
           zebra     0.9595    1.0000    0.9793        71

        accuracy                         0.9572      3204
       macro avg     0.9587    0.9573    0.9572      3204
    weighted avg     0.9586    0.9572    0.9572      3204
```