The build uses a computer vision model in MobileNetV2 which is trained for each sign in the ASL alphabet.

SLAIT School has developed an interactive tutor powered by computer vision, letting aspiring ASL speakers practice at their own rate.

The recent wave of innovations in transformer architectures, self-supervised learning, multimodal vision-language integration, 3D neural rendering and model efficiency is pushing computer vision ...

The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...