Helmet detection by deep learning

Version 1.0.1 (1.12 MB) by Takuji Fukumoto
This is a sample code that uses the Yolo v2 model to detect people wearing or not wearing helmets.
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Updated 25 Dec 2020
View License on GitHub

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 (2024). Helmet detection by deep learning (https://github.com/mathworks/Helmet-detection-using-deep-learning/releases/tag/1.0.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a and later releases
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
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.