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IJB-A

The IJB-A dataset is a large-scale unconstrained face recognition dataset, containing 5,397 images and 2,042 videos from 500 subjects, captured from in-the-wild environment to avoid near frontal bias.

Data and Resources

Cite this as

Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu (2024). Dataset: IJB-A. https://doi.org/10.57702/ikgeqw71

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1902.04755
Citation
  • https://doi.org/10.48550/arXiv.1601.07883
  • https://doi.org/10.48550/arXiv.1805.00611
Author Bangjie Yin
More Authors
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
Homepage https://www.cvgamma.org/ijb-a/