Overview

IMDb-Face is a new large-scale noise-controlled dataset for face recognition research. The dataset contains about 1.7 million faces, 59k identities, which is manually cleaned from 2.0 million raw images. All images are obtained from the IMDb website. A detailed introduction of IMDb-Face can be found in the paper click here.

We hope that the IMDb-Face dataset could shed lights on the influences of data noise to the face recognition task, and point to potential labelling strategies to mitigate some of the problems. It could serve as a relatively clean data to facilitate future studies of noises in large-scale face recognition.

Citation

If you find IMDb-Face useful in your research, please cite:

@article{wang2018devil,
title={The Devil of Face Recognition is in the Noise},
author={Wang, Fei and Chen, Liren and Li, Cheng and Huang, Shiyao and Chen, Yanjie and Qian,
Chen and Loy, Chen Change},
journal={arXiv preprint arXiv:1807.11649},
year={2018}
}