Paper: RSFAD: A Large-Scale Real Scenario Face Age Dataset in the wild

In this paper, we collect and label a new age dataset called Real Scenario Face Age Dataset (RSFAD), which includes 85,044 facial images captured from surveillance cameras in the wild. Each images in RSFAD dataset has been labeled facial bounding-box (BBox), age group, gender and breathing mask. The age label ranges from 0-70 years and divided into 14 age groups: 0-5, 5-10, 10-15, 16-20, 20-25, 25-30, 30-35, 30-40, 40-45, 45-50, 50-55, 55-60, 60-65, 65-70. We labeled each face to corresponding age group based on its apparent age was closed to the median of age group. The statistics of the RSFAD dataset are shown in Table II. The dataset contains 85,044 face images which divided into 14 age groups, each group is comprised of four subgroups: female not wearing breathing-mask, female wearing breathing-mask, male not wearing breathing-mask, male wearing breathing-mask, and the number of face images in each sub-group are nearly 1,500.

1. Redistribution: Without prior approval from RSFAD dataset, either entirely or partly, should not be further distributed, published, copied, or disseminated in any way or form, no matter for profitable use or not, including further distribution to a different department or organization in the same system.
2. Modification: Without prior approval from RSFAD dataset, either entirely or partly, is not allowed to be modified.
3. Commercial Use: Not allowed for commercial use.
4. Application: Only accept applications for academic research for free and we don't accept the applications from students. MUST provide NAME, TITLE, ORGANIZATION, EMAIL, TELEPHONE and HOMEPAGE and email to [email protected]

Please cite this paper in your publications if it helps your research:

@INPROCEEDINGS{Kong2021a,
  author={Kong, Chang and Luo, Qiuming and Chen, Guoliang},
  booktitle={2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)}, 
  title={RSFAD: A Large-Scale Real Scenario Face Age Dataset in the wild}, 
  year={2021},
  volume={},
  number={},
  pages={1-7},
  doi={10.1109/FG52635.2021.9667040}}