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RMFD

Real-World Masked Face Dataset

RMFD

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.

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National Natural Science Foundation of China
https://www.nsfc.gov.cn/english/site_1/index.html
Task
Face Recognition
Annotation Types
Classification Tags
24771
Items
2
Classes
24771
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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