---
license: apache-2.0
metrics:
- accuracy
- f1
base_model:
- google/vit-base-patch16-224-in21k
---
Returns hand gesture based on image with about 96% accuracy.

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

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/hGABRUvyao5roojmQY79K.png)

```
Classification report:

                 precision    recall  f1-score   support

           call     0.9256    0.9752    0.9498     11825
        dislike     0.9784    0.9862    0.9823     11826
           fist     0.9833    0.9870    0.9851     11826
           four     0.9140    0.9357    0.9247     11826
           like     0.9761    0.9101    0.9420     11825
           mute     0.9831    0.9964    0.9897     11826
             ok     0.9586    0.9658    0.9622     11825
            one     0.9708    0.9453    0.9579     11826
           palm     0.9764    0.9637    0.9700     11826
          peace     0.9187    0.9367    0.9276     11825
 peace_inverted     0.9784    0.9748    0.9766     11826
           rock     0.9439    0.9361    0.9400     11825
           stop     0.9502    0.9723    0.9611     11825
  stop_inverted     0.9828    0.9546    0.9685     11826
          three     0.9135    0.9068    0.9101     11826
         three2     0.9799    0.9670    0.9734     11826
         two_up     0.9570    0.9766    0.9667     11826
two_up_inverted     0.9754    0.9703    0.9729     11825

       accuracy                         0.9589    212861
      macro avg     0.9592    0.9589    0.9589    212861
   weighted avg     0.9592    0.9589    0.9589    212861
```