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
Citar como
Takuji Fukumoto (2026). Helmet detection by deep learning (https://github.com/mathworks/Helmet-detection-using-deep-learning/releases/tag/1.0.1), GitHub. Recuperado .
Categorías
Más información sobre Get Started with Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.
Información general
- Versión 1.0.1 (1,12 MB)
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Ver licencia en GitHub
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión desde R2019a
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | 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 |