Yolov8s Protective Equipment Detection
An object detection model based on YOLOv8s, specifically designed for detecting protective equipment such as gloves, goggles, helmets, etc.
Downloads 208
Release Time : 1/29/2023
Model Overview
This model is used to detect protective equipment in images, including gloves, goggles, helmets, masks, etc., and supports detecting cases where these items are not worn.
Model Features
Multi-category Detection
Supports detection of 10 different types of protective equipment and their unworn states.
Efficient Inference
Based on the YOLOv8s architecture, providing fast and accurate object detection capabilities.
Easy to Use
Offers a simple API interface for quick integration into existing systems.
Model Capabilities
Object Detection
Image Analysis
Protective Equipment Recognition
Use Cases
Industrial Safety
Construction Site Safety Monitoring
Detects whether workers are wearing necessary protective equipment such as helmets, gloves, etc.
Improves construction site safety and reduces accident rates.
Medical Protection Detection
Detects whether medical staff are wearing masks, goggles, and other protective equipment.
Ensures the safety and compliance of medical environments.
Public Safety
Public Space Protection Detection
Detects whether individuals in public spaces are wearing masks and other protective equipment.
Helps maintain public health safety.
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