ftnabil97/Construction-Site-Safety-Gears-Detection-Model-Yolov8
Safety gears detection of 10 different classes of construction site workers. This repo contains the custom object detection notebook, models, dataset, results using YoloV8
This project helps construction site managers and safety officers automatically monitor worker safety. By inputting images or videos from a construction site, it identifies whether workers are wearing essential safety gear like hardhats, masks, vests, and boots. The output helps ensure compliance with safety regulations and enhances overall site safety.
No commits in the last 6 months.
Use this if you need to automatically detect and flag construction workers who are not wearing required personal protective equipment (PPE) in images or video streams.
Not ideal if you require real-time, high-precision detection of a broader range of safety hazards beyond standard PPE, or if you need a system for detailed incident reporting and risk analysis.
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Last pushed
Jun 08, 2023
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