Datasets › IJB-A
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
Image Source: Ruan et al
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Face Verification | IJB-A | Dual-Agent GANs TAR @ FAR=0.01 97.60% | Dual-Agent GANs for Photorealistic and Identity... | — | 17 | Compare |
| Face Identification | IJB-A | StyleFNM Accuracy 94.90% | Inclusive normalization of face images to passport format | — | 3 | Compare |
Papers archive 2025-07-28
17 shown of 17 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 156. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- IJB-A
1 variant name, as the archive lists them.
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