Datasets > Modality > Images > IJB-A (IARPA Janus Benchmark A)

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

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Source: Ruan et al.

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