---
dataset_name: PPE Detection
datasets:
- <your-username>/ppe-detection
license: cc-by-4.0
task_categories:
- object-detection
tags:
- computer-vision
- object-detection
- safety
- ppe
- yolo
pretty_name: PPE Detection Dataset
size_categories:
- 10K<n<100K
---

# 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.

---

## 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.

---

## 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.

---

## 3. Dataset Structure

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

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

---

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