Download the Free American Sign Language Courses & Videos from StartASL.com
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Updated
May 21, 2017 - Python
Download the Free American Sign Language Courses & Videos from StartASL.com
A Deep Learning Model to Classify ASL Alphabets (A-Z, except J & Z) and ASL Digits (0-9)
🔮 Sign Language Translator for ASL with a gesture glove built for ECESCON9 contest
The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier that translates a discrete set of ASL sign language presentations from images of a hand into a response from another system.
American Sign Language translation to text, using a Machine Learning Model. (🏆 3rd Place at HackHershey)
Image processing project to detect the alphabet signed in American Sign Language.
Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+
Classification of signs of American Sign Language using Tensorflow
Real-time American Sign Language (ASL) interpreter using MediaPipe, Tensorflow, and Keras
General Assembly Data Science Immersive (GA-DSI) Capstone Project - American Sign Language (ASL) Letter Detector using Computer Vision and Machine Learning run in a Streamlit App.
The project entails combining supervised machine learning and image processing to create the ASL Fingerspelling application. This program uses ASL alphabet videos to predict the alphabet based on a video of a person demonstrating the sign.
OpenLibras was created to be an easy way to learn the alphabet of Libras (Lingua Brasileira de Sinais) as well as ASL (American Sign Language).
Deep learning model to recognize different American sign language gestures and translate them to text.
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