PAGAN: Platform for Audiovisual General-purpose ANnotation

Abstract

This paper presents an online platform, named PAGAN, for crowdsourcing affect annotations. The platform provides researchers with an easy-access solution for labelling any type of audiovisual content. The tool currently features an annotator interface, which offers three different time-continuous, dimensional annotation tools. PAGAN aims to serve as a free online platform for crowdsourcing large affective corpora-required from data-hungry machine learning methods for modelling affect-through a publicly available webpage, which is easy to share and use by participants.