2020

MAAD-Face: A Massively Annotated Attribute Dataset for Face Images

Terhörst, Philipp, Fährmann, Daniel, Kolf, Jan Niklas et al.

Understand

Soft-biometrics play an important role in face biometrics and related fields since these might lead to biased performances, threatens the user's privacy, or are valuable for commercial aspects.

Current face databases are specifically constructed for the development of face recognition applications.
Consequently, these databases contain large amount of face images but lack in the number of attribute annotations and the overall annotation correctness.
In this work, we propose MAADFace, a new face annotations database that is characterized by the large number of its high-quality attribute annotations.

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