Readme.md

README.md

@@ -0,0 +1,90 @@
+---
+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