A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures.

High quality large scale datasets are critical for modern research in deep learning. The lack of such datasets for sign language recognition has held back research in this area.