Helmet detection by deep learning

版本 1.0.1 (1.1 MB) 作者: 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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更新时间 2020/12/25
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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

引用格式

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

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版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。