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Improving Deep Learning-based Korean Sign Language Recognition Performance via Landmark Optimization

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Action_Detection_KSL_Final.ipynb		Action_Detection_KSL_Final.ipynb
README.md		README.md
model_44_258.h5		model_44_258.h5
test.ipynb		test.ipynb

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Korean-Sign-Language-KSL-Detection-Modeling-ML-Tensorflow-

Improving Deep Learning-based Korean Sign Language Recognition Performance via Landmark Optimization

Youtube Link: https://youtu.be/W0w3K3NxXkQ?si=CU8WiGKR3jW8qP1j

Learning Env: Jupyter Notebook
Package Version:
absl-py 1.4.0
h5py 3.7.0
imbalanced-learn 0.10.1
matplotlib 3.7.0
matplotlib-inline 0.1.6
mediapipe 0.10.7
numpy 1.23.5
numpydoc 1.5.0
opencv-python 4.8.1.78
openpyxl 3.0.10
tensorboard 2.13.0
tensorboard-data-server 0.7.0
tensorflow 2.13.0rc0
tensorflow-estimator 2.13.0rc0
tensorflow-macos 2.13.0rc0
QtPy 2.2.0
scikit-image 0.19.3
scikit-learn 1.2.1

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Improving Deep Learning-based Korean Sign Language Recognition Performance via Landmark Optimization

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Jupyter Notebook 100.0%