Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations
Hicham Johra, Martin Veit, Mathias Østergaard Poulsen, Albert Daugbjerg Christensen, Rikke Gade, Thomas Baltzer Moeslund, Rasmus Lund Jensen · 2023
The aim of this technical report is to provide a description and access to labelled image and video datasets of human faces that have been generated for different indoor visual comfort and glare visual discomfort situations. These datasets have been used to train and test a computer-vision artificial neural network detecting glare discomfort from images of human faces.