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isolated-sign-language-recognition

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An end-to-end system for isolated sign language recognition, featuring data preprocessing, deep learning-based model training, real-time prediction, and a web interface for live sign recognition to enhance accessibility and communication.

  • Updated Jan 20, 2025
  • Jupyter Notebook

SignBart is an efficient Isolated Sign Language Recognition model that decouples x and y coordinates using a lightweight encoder-decoder architecture. It achieves high accuracy with fewer than 750K parameters, outperforming traditional models on datasets like LSA-64, WLASL, and ASL-Citizen.

  • Updated Apr 28, 2025
  • Python

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