  We present TEyeD, the world's largest unified public data set of eye images
taken with head-mounted devices. TEyeD was acquired with seven different
head-mounted eye trackers. Among them, two eye trackers were integrated into
virtual reality (VR) or augmented reality (AR) devices. The images in TEyeD
were obtained from various tasks, including car rides, simulator rides, outdoor
sports activities, and daily indoor activities. The data set includes 2D\&3D
landmarks, semantic segmentation, 3D eyeball annotation and the gaze vector and
eye movement types for all images. Landmarks and semantic segmentation are
provided for the pupil, iris and eyelids. Video lengths vary from a few minutes
to several hours. With more than 20 million carefully annotated images, TEyeD
provides a unique, coherent resource and a valuable foundation for advancing
research in the field of computer vision, eye tracking and gaze estimation in
modern VR and AR applications. Data and code at
https://unitc-my.sharepoint.com/:f:/g/personal/iitfu01_cloud_uni-tuebingen_de/EvrNPdtigFVHtCMeFKSyLlUBepOcbX0nEkamweeZa0s9SQ?e=fWEvPp
