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The spread of the coronavirus, or COVID-19, was exceptionally rampant and perilous from 2020 to 2021. Many people died due to the spread of corona. It is essential that humans wear face masks to stop COVID-19 spread, but it can be difficult to enforce this. Machine Learning can be used to detect facemasks automatically. The performance of different classification models for face mask identification has been compared here. MobileNetV2 attained an impressive accuracy of 99% for both Dataset 1 and Dataset 2. The classification model can be used to create an automated alert system that will identify and caution those who are not covering their mouth and noses with masks.

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A Comparative Study on Face Mask Detection Using Machine Learning and Deep Learning Approaches

  • 会议论文

  • 发表日期：

    2025年

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  • Meghna Paul,
  • Joydeep Mukherjee,
  • Shuvam Chakraborty,
  • Susovan Jana

摘要

The spread of the coronavirus, or COVID-19, was exceptionally rampant and perilous from 2020 to 2021. Many people died due to the spread of corona. It is essential that humans wear face masks to stop COVID-19 spread, but it can be difficult to enforce this. Machine Learning can be used to detect facemasks automatically. The performance of different classification models for face mask identification has been compared here. MobileNetV2 attained an impressive accuracy of 99% for both Dataset 1 and Dataset 2. The classification model can be used to create an automated alert system that will identify and caution those who are not covering their mouth and noses with masks.