Valence/Arousal Online Annotation Tool


This tool, written in Python as a Flask application backed with a MongoDB, allows any number people to annotate video clips per-frame, for valence and arousal, remotely. In addition it can be easily extended to handle more annotations (e.g. discrete emotions).


The tool is open source and can be obtained on github, along with instructions.


If you use this annotation tool or a modified version, please cite:

  •  J. Kossaifi, G. Tzimiropoulos, S. Todorovic and M. Pantic. "AFEW-VA database for valence and arousal estimation in-the-wild". Image and Vision Computing, 2017.