Helmet detection by deep learning

This is a sample code that uses the Yolo v2 model to detect people wearing or not wearing helmets.

https://github.com/mathworks/Helmet-detection-using-deep-learning

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Deep learning object detection technology is sometimes used for people detection in images.

People detection are very common in Automated driving system. In addition, it is also used at factories and workplaces.
They check the behavior of worker or if workers wear necessary equipment in hazardous areas.

his file is a sample code that trains an object detection model (Yolo v2) with labeled video data to detect a man wearing or not wearing helmets.

[Keyward]
image processing・Computer vision・Deep Learning・Machine Learning・CNN・Yolo v2・Object detection

Cite As

Takuji Fukumoto (2026). Helmet detection by deep learning (https://github.com/mathworks/Helmet-detection-using-deep-learning/releases/tag/1.0.1), GitHub. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with R2019a and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.1

See release notes for this release on GitHub: https://github.com/mathworks/Helmet-detection-using-deep-learning/releases/tag/1.0.1

1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.