Blind Users Accessing Their Training Images in Teachable Object Recognizers
Jonggi Hong, Jaina Gandhi, Ernest Essuah Mensah, Farnaz Zamiri Azar, Kyungjun Lee, Hernisa Kacorri · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)
This paper introduces MYCam, an open-source iOS testbed application designed to help blind users build and improve personalized object recognizers. While teachable object recognizers allow users to train custom models by taking photos of objects they want to recognize, blind…
teachable AI · object recognition · blind users · machine learning · camera interaction