Teachable Object Recognizer

A machine learning application that allows end users to train custom object recognition models by providing their own example images, rather than relying on pre-trained models with fixed categories. In accessibility contexts, teachable object recognizers empower blind and low-vision users to create personalized recognizers for items in their daily environment — such as distinguishing between similar products, identifying personal belongings, or recognizing specific items that generic recognition systems cannot differentiate. These tools typically use transfer learning to build accurate classifiers from relatively few training images.