51ddhesh/PPE_Detection

PPE Detection Dataset 🦺🪖😷

A high-quality, annotated dataset for Personal Protective Equipment (PPE) detection in industrial and construction environments.
The dataset is suitable for training object detection models such as YOLOv8, YOLOv5, Detectron2, etc.

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1. Dataset Summary

This dataset contains images annotated with 6 PPE classes:

• Vest
• Safety Shoe
• Mask
• Helmet
• Goggles
• Gloves

It is designed for:

• Construction site safety compliance
• Industrial worker monitoring
• Automated PPE detection for CCTV / RTSP cameras
• Real-time analytics on edge devices (Jetson, Raspberry Pi, etc.)

Class Distribution

Class	Count
Vest	4,418
Safety Shoe	2,006
Mask	2,763
Helmet	2,703
Goggles	1,431
Gloves	2,693
Total Objects	16,014

Note: Counts refer to annotated objects, not number of images.

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2. Supported Tasks and Leaderboards

Task type: Object Detection

Typical use cases:

• PPE presence/absence detection
• Safety rule enforcement
• Worker compliance monitoring
• Scene understanding in industrial environments

No official leaderboard is maintained yet.

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3. Dataset Structure

The dataset follows a YOLO-style folder structure, typically like:

PPE/
├── train/
│   ├── images/
│   └── labels/
├── valid/
│   ├── images/
│   └── labels/
├── test/
│   ├── images/
│   └── labels/
└── data.yaml

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🤝 Thanks / Contact
For improvements, issues, or contributions—open a Pull Request or Discussion.