IARPA Janus Benchmark A
Introduced in Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A2014
The IARPA Janus Benchmark A (IJB-A) database is developed with the aim to augment more challenges to the face recognition task by collecting facial images with a wide variations in pose, illumination, expression, resolution and occlusion. IJB-A is constructed by collecting 5,712 images and 2,085 videos from 500 identities, with an average of 11.4 images and 4.2 videos per identity.
Source: von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Image Source: Ruan et al
