Real-World Masked Face Dataset

Dataset Overview

Dataset Name

• Masked‑Face Dataset (Real‑World Masked Face Dataset, RMFD)

Initiating Institution

• Wuhan University National Multimedia Software Engineering Technology Research Center

Contact

• Contact Person: Xiong Zhangyang
• Email: x_zhangyang@whu.edu.cn

Dataset Content

1. Real‑World Masked Face Recognition Dataset

   • Source: Web crawling
   • Size: 525 individuals, 5 k masked faces, 90 k normal faces
   • Download:
     • Baidu Cloud (Password: j3aq)
     • Google Drive

2. Simulated Masked Face Recognition Dataset

   • Source: Existing face datasets with synthetic masks applied
   • Size: 10 k individuals, 500 k faces
   • Sub‑datasets:
     • WebFace Simulated Masked Set
       • Download:
         • Baidu Cloud (Password: 77m8)
         • Google Drive
     • LFW Simulated Masked Set
       • Download:
         • Baidu Cloud (Password: o126)
         • Google Drive

Intended Use

• Design and train algorithms for mask‑occluded face detection and recognition.
• Apply to community lockdown access control, upgraded facial‑recognition turnstiles at stations/airports, and facial‑recognition attendance devices.

Performance

• Using the dataset, a multi‑granularity mask‑face recognition model achieved 95 % identification accuracy.

Download Packages

• RMFD_part_1: Directly usable.
• RMFD_part_2: Requires downloading all four archives and extracting.
• RMFD_part_3: Requires downloading all three archives and extracting.
• Links:
  • Baidu Cloud (Code: xhze)
  • Google Drive