This dataset intends to facilitate the study of age and gender recognition. The data included in this collection is intended to be as true as possible to the challenges of real-world imaging conditions. In particular, it atempts to capture all the variations in appearance, noise, pose, lighting and more, that can be expected of images taken without careful preparation or posing.Total number of photos:26,580Total number of subjects:2,284Number of age groups / labels:8 (0-2, 4-6, 8-13, 15-20, 25-32, 38-43, 48-53, 60-)Gender labels:YesIn the wild:YesSubject labels:YesRelated publication:Eran Eidinger, Roee Enbar, andTal Hassner, "Age and Gender Estimation of Unfiltered Faces", IEEETransactions on Information Forensics and Security (IEEE-TIFS), special issue on Facial Biometrics in the Wild, Volume 9, Issue 12, pages 2170 - 2179, Dec. 2014 [PDF]