Training machine learning to benefit the low vision community

Artificial intelligence has shown significant potential for developing technologies to benefit people with blindness or low vision. NYU Tandon Assistant Professor Chen Feng and Masters student Diwei Sheng co-authored the research paper “Training AI to Recognize Objects of Interest to the Blind and Low Vision Community,” which explores how AI models can better recognize objects to aid those with blindness. Their work identified thirty-five objects essential to people with blindness

This paper was accepted at the 45th Annual International Conference of the IEEE Engineering in Medical Biology Society, and helps demonstrate the importance of curating training data for assistive technologies that cater to individual users’ needs.