Simulated Masked Face Recognition Dataset (SMFRD)

SMFRD (or Simulated Masked Face Recognition Dataset) is a dataset of masked faces intended to enable facial recognition systems to identify the individuals behind the masks.

Released in March 2020 by researchers at Wuhan University in China, the set is a derivative of the Labeled Faces in the Wild (LBW) dataset, with facemasks superimposed. LBW was the first dataset to use facial images scraped from websites and applications.

Released at the height of the COVID-19 pandemic, SMFRD was seen as helpful to limiting the spread of the pandemic in China and is freely available to industry and academia.