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A computer vision practice: Using Tensorflow - Object Detection Tutorials - Helmet detection

Video Analysis using Machine Learning

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CenterNet with MobileNetV3 backboned helmet detection based on PyTorch with inference code only.

A warning video system of whether the people in the video wear helmet, extending YOLO.

This project focuses on enhancing construction site safety through real-time detection of safety gear such as helmets and vests worn by workers, as well as detecting the presence of a person.

helmet(hard hat) detection with yolov4

Helmet Detection:detect persons with/without helmets using YOLOv3(头盔\安全帽检测：使用YOLOv3检测是否戴头盔\安全帽)

YoloV8 model, trained for recognizing if construction workers are wearing their protection helmets in mandatory areas

A Streamlit-based application for detecting helmets, bikes, and recognizing number plates in a video stream. It uses the YOLOv3 object detection model for detecting bikes and helmets and a CNN model for helmet detection. Additionally, it recognizes number plates in real-time video.