Towards Automated Interpretation of Selected Nigerian Sign Language Using Multiclass Classification

AI-Driven Sign Language Interpretation for Nigerian Children at Home

As many as three million school age children between the ages of 5 and 14 years, live with severe to

Multiclass classification of Ethiopian coffee bean using deep learning

Ethiopia is the homeland of Coffee Arabica. Coffee is the major export commodity and a high-income s

Real-Time South African Sign Language Interpretation Using Computer Vision Methods

Sign-to-Speech for Sign Language Understanding: A case study of Nigerian Sign Language

Our dataset is a novel dataset for the Nigerian Sign Language comprising of 5000 images of 137 sign words/phrases including the alphabet letters. Data collectors of 20+ individuals comprising of a TV sign language broadcaster and students and teachers from 2 specia

ahmedbelgacem/Kenyan-Sign-Language-Classification

A repository for the Task Mate Kenyan Sign Language Classfication challenge on Zindi

ARGo: An Architecture for Sign Language Recognition and Interpretation

International audience