Teachable Object Recognition

Also known as: Teachable Object Recognizer, TOR, Personalized Object Recognition

A machine learning approach that allows users to train an object recognition system to identify their own personal items by providing a small number of training examples, typically photos or videos. This technology is particularly valuable for blind and low vision users who need to identify everyday objects like food packages, personal care products, or medications. Unlike general-purpose object recognition, teachable systems adapt to each user's specific environment and possessions, making them more practical for daily use.