We have trained CNN (Convolutional Neural Network) algorithm to predict sign language. There are also pretrained models which also used in this model.
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Updated
Jan 24, 2024 - Python
We have trained CNN (Convolutional Neural Network) algorithm to predict sign language. There are also pretrained models which also used in this model.
Documentation for LearnASL project.
Ecuadorian sign language translator with deep learning; this is one of the projects that I am most proud of.
Sign Language detection is done using Tensorflow API and OpenCV.
"Sign Language Recognition" is a project that employs Long Short-Term Memory (LSTM) neural networks to accurately recognize and interpret sign language gestures. The project encompasses the creation of a robust dataset containing over 50 words in sign language, providing a diverse range of gestures for training and testing the model.
Converting Sign Language to text using OpenCv and Machine learning algorithms
A model to recognize ten different everyday KSL signs present in the images, using machine learning or deep learning algorithms.This dataset was collected specifically for a Zindi competition by Task Mate. Almost all of the hands are hands of people of color, in an effort to address bias in sign language datasets.
This project is aimed at detecting American Sign Language (ASL) alphabets in real-time using computer vision. The system utilizes OpenCV for image processing, MediaPipe for hand detection, and a Random Forest classifier from scikit-learn for alphabet recognition.
Sanket is a real-time sign language recognition application. It's designed to recognize a variety of sign language gestures, making communication easier for those who use sign language.
Shady Elkholy's graduation project, Arab Open University, Computer science
ASL Letter Classification: Using a CNN to classify American Sign Language (ASL) letter images with high accuracy.
Applied SSD integrated with MobileNet model for object (sign gestures) detection and recognition and the model is trained using Transfer Learning, with the aim to develop a web app for real-time ASL recognition from user input & then to generate text in English.
Image Processing Using AI Neural Networks for Hand Gesture Recognition, To Translate Sign Language to Text.
Sign language gesture recognition is done in two ways. Alphabets are detected from sign language and words are formed using this. The words thus formed is then converted to speech. Another method includes recognizing gestures which include words.
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.
Basic sign live language translator using deep learning.
Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.
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