RMFD
Classification
Face
|...
许可协议: Unknown

Overview

Because of the recent epidemic of COVID-19 virus around the world, people across the country wear masks and there appear a large number of masked face samples. We thus created the world's largest masked face dataset to accumulate data resources for possible intelligent management and control of similar public safety events in the future. Based on masked face dataset, corresponding masked face detection and recognition algorithms are designed to help people in and out of the community when the community is closed. In addition, the upgrade of face recognition gates, facial attendance machines, and facial security checks at train stations is adapted to the application environment of pedestrian wearing masks.

Citation

Please use the following citation when referencing the dataset:

@article{wang2020masked,
  title={Masked face recognition dataset and application},
  author={Wang, Zhongyuan and Wang, Guangcheng and Huang, Baojin and Xiong, Zhangyang and Hong,
Qi and Wu, Hao and Yi, Peng and Jiang, Kui and Wang, Nanxi and Pei, Yingjiao and others},
  journal={arXiv preprint arXiv:2003.09093},
  year={2020}
}
数据概要
数据格式
Image,
数据量
605K
文件大小
--
发布方
NERCMS(National Engineering Research Center for Multimedia Software)
NERCMS) in February 1996 approved the establishment, is the technical field of multimedia software, the first national research institutions, mainly engaged in the research of video encoding technology, common multimedia digital security technology and multimedia data analysis technology application and engineering technology.
数据集反馈
| 20 | 数据量 605K | 大小 --
RMFD
Classification
Face
许可协议: Unknown

Overview

Because of the recent epidemic of COVID-19 virus around the world, people across the country wear masks and there appear a large number of masked face samples. We thus created the world's largest masked face dataset to accumulate data resources for possible intelligent management and control of similar public safety events in the future. Based on masked face dataset, corresponding masked face detection and recognition algorithms are designed to help people in and out of the community when the community is closed. In addition, the upgrade of face recognition gates, facial attendance machines, and facial security checks at train stations is adapted to the application environment of pedestrian wearing masks.

Citation

Please use the following citation when referencing the dataset:

@article{wang2020masked,
  title={Masked face recognition dataset and application},
  author={Wang, Zhongyuan and Wang, Guangcheng and Huang, Baojin and Xiong, Zhangyang and Hong,
Qi and Wu, Hao and Yi, Peng and Jiang, Kui and Wang, Nanxi and Pei, Yingjiao and others},
  journal={arXiv preprint arXiv:2003.09093},
  year={2020}
}
数据集反馈
0
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