Real-World Masked Face dataset
The Real-World Masked Face dataset is a dataset of photographs of over 5,000 masked faces of 525 people developed by r esearchers at Wuhan University. In a n accompanying research paper , t he researchers say the project is to help identify individuals wearing face masks as a means of controlling the COVID-19 pandemic. Dataset 🤖 Data 🔗 Released: 2 020 Developer: Wuhan University Purpose: Train facial recognition systems Type: Database/dat aset T echnique : Computer vision; Facial recognition; Machine learning Transparency, accountability 🙈 The Real-World Masked Face dataset has been criticised for poor tra nsparency and accountability. Data selection. The researchers said the images are of 'public figures' gathered 'from massive internet resources.' The researchers refused to discuss how they chose the people added to the dataset, or whether or not this may impact their privacy. Risks, 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. Incidents, issues 🔥 May 2020. Chinese researchers scrape masked photos to train facial recognition systems
- Product, system or model
- Real-World Masked Face Dataset
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