paulinamoskwa/Real-Time-Sign-Language
Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟
This project explores the real-time detection of American Sign Language (ASL) letters from video feeds. It takes live camera input and attempts to identify individual ASL letter signs, indicating what letter is being signed. This is for researchers or developers focused on creating more reliable sign language interpretation tools to bridge communication gaps for the deaf community.
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Use this if you are a researcher or developer prototyping computer vision models for ASL letter recognition and need a baseline for real-time detection using YOLOv5.
Not ideal if you need a ready-to-use application for accurate, generalized ASL interpretation in diverse real-world settings.
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HTML
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Last pushed
Jul 23, 2022
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