Sign Language Detaction from Images
Rawan Alhalwan Hadeel Aldhafiri Alanoud Alrashed
Objectives: To recognition Sign Language from images the scope will latter defined
Dataset Description: The training data set contains 87,000 images which are 200x200 pixels. There are 29 classes, of which 26 are for the letters A-Z and 3 classes for SPACE, DELETE and NOTHING.
Dataset Link: https://www.kaggle.com/datasets/grassknoted/asl-alphabet
The expected (Machine learning / Deep Learning) Algorithms: Neural Networks