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IMDb-Face
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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}
}
🎉感谢Graviti Open Datasets的贡献
数据集信息
应用场景Face
标注类型Box2DClassification
任务类型暂无
LicenseUnknown
更新时间2021-03-24 22:50:16
数据概要
数据格式Image
数据数量1.7M
已标注数量0
文件大小0B
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