dima806/hand_gestures_image_detection

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.

Classification report:

                 precision    recall  f1-score   support

           call     0.9261    0.9712    0.9481     11826
        dislike     0.9773    0.9840    0.9807     11825
           fist     0.9839    0.9871    0.9855     11825
           four     0.9150    0.9326    0.9237     11825
           like     0.9743    0.9110    0.9416     11825
           mute     0.9835    0.9973    0.9903     11826
             ok     0.9579    0.9657    0.9618     11826
            one     0.9681    0.9467    0.9573     11826
           palm     0.9781    0.9618    0.9699     11826
          peace     0.9205    0.9323    0.9263     11825
 peace_inverted     0.9777    0.9751    0.9764     11826
           rock     0.9428    0.9387    0.9408     11825
           stop     0.9522    0.9735    0.9627     11826
  stop_inverted     0.9825    0.9561    0.9691     11826
          three     0.9105    0.9114    0.9110     11826
         three2     0.9800    0.9671    0.9735     11826
         two_up     0.9544    0.9747    0.9644     11825
two_up_inverted     0.9762    0.9697    0.9730     11826

       accuracy                         0.9587    212861
      macro avg     0.9590    0.9587    0.9587    212861
   weighted avg     0.9590    0.9587    0.9587    212861