AXIOM Face Database

The main purpose of building the AXIOM Face Database was to gather challenging pictures for fine-tuning object recognition algorithms for facial analysis based on state-of-the-art machine learning techniques. Additionally, the database was also developed with the aim of enriching with supplementary human-annotated pictures existing datasets that are used for training demographic face estimation algorithms. By taking into account these initial requirements, a team in the University of Siena collected pictures of faces of people who previously provided their written consent to participate in the experiment. The AXIOM Face Database includes both frontal and non-frontal images captured in multiple poses using different illumination conditions. More particularly, the database features 123 multiethnic individuals for whom 25 pictures were captured showing partially occluded faces coming from wearing glasses, sunglasses, caps, hats or scarves.