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
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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 .
Categories
Find more on Get Started with Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers
General Information
- Version 1.0.1 (1.12 MB)
-
View License on GitHub
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 |