Safety-Detection-YOLOv8 and YOLOv8-Object-Detection

YOLOv8-Object-Detection
23
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 16/25
Maintenance 0/25
Adoption 3/25
Maturity 8/25
Community 12/25
Stars: 23
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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.

workplace-safety PPE-compliance site-monitoring industrial-safety safety-management

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.

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