TEgO: Teachable Egocentric Objects Dataset

TEgO dataset includes egocentric images of 19 distinct objects taken by two people for training and testing a teachable object recognizer. Specifically, a blind and a sighted individual takes photos of the objects using a smartphone camera to train and test their own teachable object recognizer.A detailed description of the dataset (people, objects, environment, and lighting) can be found in our CHI 2019 paper titled “Hands holding clues for object recognition in teachable machines” (see citation below).