A trio of researchers from Germany’s University Tübingen have introduced a unified dataset of over 20 million human eye images captured using seven different head-mounted eye trackers. Dubbed TEyeD, the dataset is the largest of its kind and includes 2D and 3D annotations on eye movement types. Landmarks and semantic segmentations are provided for the pupils, irises and eyelids to enable shift-invariant gaze estimation.
The paper TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types is available on arXiv.
