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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