Real-World Masked Face (口罩人脸数据集) dataset

Real-World Masked Face Dataset is a dataset of photographs of over 5,000 masked faces of 525 people developed by researchers at Wuhan University. 

In an accompanying research paper, the researchers say the project is to help identify individuals wearing face masks as a means of controlling the COVID-19 pandemic.

Dataset 🤖


Documents 📃

Operator:  
Developer: Wuhan University

Country: China

Sector: Health; Research/academia

Purpose: Improve facial recognition algorithms

Technology: Dataset; Facial recognition; Computer vision
Issue: Privacy; Ethics/values; Dual/multi-use; Surveillance

Transparency: Governance; Privacy

Risks and harms 🛑

The Real-World Masked Face Dataset is seen to raise privacy and consent issues by collecting images of people wearing masks without their knowledge or permission, potentially enabling facial recognition technology that could be used for unauthorised surveillance or identification even when individuals attempt to maintain anonymity.

Transparency and accountability 🙈

The Real-World Masked Face (口罩人脸数据集) dataset has been criticised for poor transparency and accountability. 

Incidents and issues 🔥

Page info
Type: Data
Published: January 2023
Last updated: June 2024