Helmet detection by deep learning

버전 1.0.1 (1.12 MB) 작성자: Takuji Fukumoto
This is a sample code that uses the Yolo v2 model to detect people wearing or not wearing helmets.
다운로드 수: 726
업데이트 날짜: 2020/12/25

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

인용 양식

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

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개발 환경: R2019a
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버전 게시됨 릴리스 정보
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

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