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@@ -8,33 +8,33 @@ Returns hand gesture based on image with about 96% 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/NRezdxS_4sARObZx-bK9r.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 0.9261 0.9712 0.9481 11826
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- dislike 0.9773 0.9840 0.9807 11825
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- fist 0.9839 0.9871 0.9855 11825
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- four 0.9150 0.9326 0.9237 11825
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- like 0.9743 0.9110 0.9416 11825
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- mute 0.9835 0.9973 0.9903 11826
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- ok 0.9579 0.9657 0.9618 11826
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- one 0.9681 0.9467 0.9573 11826
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- palm 0.9781 0.9618 0.9699 11826
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- peace 0.9205 0.9323 0.9263 11825
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- peace_inverted 0.9777 0.9751 0.9764 11826
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- rock 0.9428 0.9387 0.9408 11825
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- stop 0.9522 0.9735 0.9627 11826
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- stop_inverted 0.9825 0.9561 0.9691 11826
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- three 0.9105 0.9114 0.9110 11826
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- three2 0.9800 0.9671 0.9735 11826
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- two_up 0.9544 0.9747 0.9644 11825
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- two_up_inverted 0.9762 0.9697 0.9730 11826
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- accuracy 0.9587 212861
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- macro avg 0.9590 0.9587 0.9587 212861
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- weighted avg 0.9590 0.9587 0.9587 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/hGABRUvyao5roojmQY79K.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 0.9256 0.9752 0.9498 11825
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+ dislike 0.9784 0.9862 0.9823 11826
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+ fist 0.9833 0.9870 0.9851 11826
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+ four 0.9140 0.9357 0.9247 11826
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+ like 0.9761 0.9101 0.9420 11825
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+ mute 0.9831 0.9964 0.9897 11826
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+ ok 0.9586 0.9658 0.9622 11825
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+ one 0.9708 0.9453 0.9579 11826
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+ palm 0.9764 0.9637 0.9700 11826
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+ peace 0.9187 0.9367 0.9276 11825
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+ peace_inverted 0.9784 0.9748 0.9766 11826
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+ rock 0.9439 0.9361 0.9400 11825
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+ stop 0.9502 0.9723 0.9611 11825
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+ stop_inverted 0.9828 0.9546 0.9685 11826
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+ three 0.9135 0.9068 0.9101 11826
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+ three2 0.9799 0.9670 0.9734 11826
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+ two_up 0.9570 0.9766 0.9667 11826
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+ two_up_inverted 0.9754 0.9703 0.9729 11825
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+ accuracy 0.9589 212861
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+ macro avg 0.9592 0.9589 0.9589 212861
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+ weighted avg 0.9592 0.9589 0.9589 212861
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  ```