Racial equality is an important theme of international human rights law, but it has been largely obscured when the overall face recognition accuracy is pursued blindly. More facts indicate racial bias indeed degrades the fairness of recognition system and the error rates on non-Caucasians are usually much higher than Caucasians. To facilitate the research towards this issue, we construct four training datasets and one testing dataset with different races for deep face recognition.
Please contact Mei Wang and Weihong Deng for questions about the database.
