Adience

Introduced by Eran Eidinger et al. in Age and Gender Estimation of Unfiltered Faces

The Adience dataset, published in 2014, contains 26,580 photos across 2,284 subjects with a binary gender label and one label from eight different age groups, partitioned into five splits. The key principle of the data set is to capture the images as close to real world conditions as possible, including all variations in appearance, pose, lighting condition and image quality, to name a few.

Source: Understanding and Comparing Deep Neural Networksfor Age and Gender Classification

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