Siegfried Nijssen

WIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation

Maxime Moussi, Benoît Ronval, Siegfried Nijssen, Félicien Schiltz

The deployment of face detection models in real-world applications raises important fairness concerns, as these systems may showcase performance disparities across demographic groups. A key obstacle to studying and mitigating such biases is the lack of face detection datasets wit…Read more