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README.md
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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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-

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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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