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@@ -8,33 +8,33 @@ Returns hand gesture based on image with 95% accuracy.
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  See https://www.kaggle.com/code/dima806/hand-gestures-image-detection-vit for more details.
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/-UK695_zU_Qb6hCBwWPuO.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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- call 0.9209 0.9691 0.9444 11826
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- dislike 0.9753 0.9852 0.9802 11826
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- fist 0.9817 0.9874 0.9845 11825
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- four 0.9142 0.9200 0.9171 11826
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- like 0.9731 0.9044 0.9375 11825
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- mute 0.9827 0.9964 0.9895 11826
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- ok 0.9579 0.9648 0.9614 11825
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- one 0.9687 0.9454 0.9569 11826
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- palm 0.9745 0.9638 0.9691 11825
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- peace 0.9175 0.9290 0.9232 11826
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- peace_inverted 0.9753 0.9723 0.9738 11826
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- rock 0.9424 0.9345 0.9384 11826
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- stop 0.9468 0.9731 0.9598 11825
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- stop_inverted 0.9817 0.9518 0.9665 11825
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- three 0.9019 0.9084 0.9052 11825
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- three2 0.9743 0.9655 0.9699 11826
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- two_up 0.9563 0.9740 0.9651 11826
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- two_up_inverted 0.9742 0.9691 0.9716 11826
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- accuracy 0.9563 212861
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- macro avg 0.9566 0.9563 0.9563 212861
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- weighted avg 0.9566 0.9563 0.9563 212861
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  ```
 
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  See https://www.kaggle.com/code/dima806/hand-gestures-image-detection-vit for more details.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/653REavLfGlE_br5Mbu1U.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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+ call 0.9247 0.9703 0.9470 11826
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+ dislike 0.9759 0.9849 0.9804 11825
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+ fist 0.9815 0.9864 0.9839 11826
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+ four 0.9130 0.9279 0.9204 11825
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+ like 0.9734 0.9093 0.9402 11825
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+ mute 0.9839 0.9970 0.9904 11825
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+ ok 0.9574 0.9631 0.9602 11825
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+ one 0.9701 0.9420 0.9559 11826
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+ palm 0.9790 0.9614 0.9701 11825
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+ peace 0.9146 0.9314 0.9230 11826
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+ peace_inverted 0.9782 0.9726 0.9754 11826
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+ rock 0.9392 0.9346 0.9369 11825
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+ stop 0.9494 0.9753 0.9622 11826
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+ stop_inverted 0.9833 0.9549 0.9689 11826
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+ three 0.9031 0.9073 0.9052 11826
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+ three2 0.9760 0.9647 0.9703 11826
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+ two_up 0.9556 0.9759 0.9657 11826
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+ two_up_inverted 0.9759 0.9695 0.9727 11826
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+ accuracy 0.9571 212861
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+ macro avg 0.9575 0.9571 0.9572 212861
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+ weighted avg 0.9575 0.9571 0.9572 212861
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  ```