Research on the Use of YOLOv5 Object Detection Algorithm in Mask Wearing Recognition
Published in World Scientific Research Journal, 2020
An early-career project applying YOLOv5 to real-time mask-wearing recognition for pandemic monitoring. The paper documents data curation, model fine-tuning, and deployment trade-offs for edge object-detection in public-health settings.
Recommended citation: Liu, Y., Lu, B. H., Peng, J., & Zhang, Z. (2020). "Research on the use of YOLOv5 object detection algorithm in mask wearing recognition." World Scientific Research Journal, 6(11), 276–284.