Project Panda is a project initiated by VISTA Lab in the Computer Science Department of University of Rochester. This project is dedicated at analyzing the sleep condition distribution among race, gender and age by looking at faces in the selfies posted across the social media.
Instead of looking at the sleep condition directly, we look at peoples facial cues to obtain the sleep deprived fatigue level, which is a indirect indicator of sleep condition. In order to build a such model to make prediction on fatigue level by solely looking at the face of the subject, we have invited members of YR2 Lab at University of Rochester to help us to rate the training faces at the first place.
This app is designed to make the rating process more efficient and smooth for those would like to participate to rate the training data for the Project Panda.