Face-Mask Detection on real-world Webcam dataset

  • Successfully collected more than 900 Gb of public webcam data, by capturing image frames periodically from over 80 webcams across United States.
  • Applied Coco-annotation semi-automated labelling to develop ground-truth labels.
  • Re-implemented 4 state-of-the-art face detection algorithms for face detection & face mask detection to analyze their effectiveness in real-world dataset.
  • Reported face mask usage across United States from Jun 23’ 2020 to Feb 10’ 2020.