Helmet detection by deep learning

Version 1.0.1 (1,12 Mo) par 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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Mise à jour 25 déc. 2020
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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

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2019a
Compatible avec les versions R2019a et ultérieures
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Version Publié le Notes de version
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

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.