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README.md
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@@ -4,4 +4,35 @@ metrics:
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- accuracy
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- f1
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---
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- accuracy
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- f1
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---
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Return hand gesture based on image.
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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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Classification report:
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precision recall f1-score support
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call 0.8748 0.9097 0.8919 2957
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dislike 0.9679 0.9577 0.9628 2956
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fist 0.9628 0.9811 0.9718 2956
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four 0.8241 0.8068 0.8154 2956
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like 0.9039 0.8559 0.8793 2957
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mute 0.9608 0.9956 0.9779 2956
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ok 0.8929 0.9053 0.8990 2956
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one 0.9266 0.9175 0.9220 2957
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palm 0.9531 0.9202 0.9363 2957
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peace 0.8576 0.8620 0.8598 2956
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peace_inverted 0.9672 0.9472 0.9571 2957
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rock 0.8962 0.8471 0.8710 2957
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stop 0.9092 0.9591 0.9335 2956
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stop_inverted 0.9661 0.9151 0.9399 2956
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three 0.7879 0.8258 0.8064 2956
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three2 0.9204 0.9188 0.9196 2957
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two_up 0.9014 0.9642 0.9317 2957
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two_up_inverted 0.9649 0.9381 0.9513 2956
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accuracy 0.9126 53216
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macro avg 0.9132 0.9126 0.9126 53216
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weighted avg 0.9132 0.9126 0.9126 53216
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```
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