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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Benchmarks

Add a new result Link an existing benchmark

Task	Dataset Variant	Best Model
Age And Gender Classification	Adience Age	ViT-hSeq
Age And Gender Classification	Adience Gender	ViT-hSeq
Age Estimation	Adience	OrdinalCLIP
Face Recognition	Adience	PIC - MagFace
Face Recognition	Adience (Online Open Set)	FaceNet+Adaptive Threshold
Face Quality Assessement	Adience	SER-FIQ