Safety-Detection-YOLOv8 and YOLOv8-Object-Detection
About Safety-Detection-YOLOv8
biswadeep-roy/Safety-Detection-YOLOv8
It's a cutting-edge object detection model, to enhance safety measures by identifying and classifying objects related to personal protective equipment
This tool helps ensure workplace safety by automatically identifying whether individuals are wearing required personal protective equipment (PPE) like hardhats, masks, and safety vests. It takes live video feeds or recorded footage as input and highlights where safety compliance is met or not, allowing safety managers or site supervisors to monitor and enforce safety standards.
About YOLOv8-Object-Detection
M3GHAN/YOLOv8-Object-Detection
This project implements object detection using the YOLOv8 model to detect persons and personal protective equipment (PPE), including hard hats, gloves, masks, glasses, boots, vests, PPE-suits, ear protectors, and safety harnesses. The project demonstrates how to convert PascalVOC annotations to YOLO format, train a custom YOLOv8 model.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work