PPE Dataset for Workplace Safety Computer Vision Project
PPE Dataset for Workplace Safety
Overview
The "PPE Dataset" is a robust and diverse collection of images designed for the development and enhancement of machine learning models in the realm of workplace safety. This dataset focuses on the detection and classification of various types of personal protective equipment (PPE) typically used in industrial and construction environments. The goal is to facilitate automated monitoring systems that ensure adherence to safety protocols, thereby contributing to the prevention of workplace accidents and injuries.
Class Types
The dataset comprises annotated images spanning four primary PPE categories:
Boots: Safety footwear, including steel-toe and insulated boots. Helmet: Various types of safety helmets and hard hats. Person: Individuals, both with and without PPE, to enhance person detection alongside PPE recognition. Vest: High-visibility vests, reflective safety gear for visibility in low-light conditions. Ear-protection: adding images Mask: Respiratory masks adding images Glass: Safety glasses adding images Glove: Safety Gloves adding images Safety cones: to be added Each class is meticulously annotated to provide precise bounding boxes, ensuring high-quality data for model training.
Current Status and Timeline
Phase 1 - Collection: Gathering images from diverse sources, focusing on different environments, lighting conditions, and angles. Phase 2 - Annotation: Ongoing process of labeling the images with accurate bounding boxes. Phase 3 - Model Training: Scheduled to commence post-annotation, targeting advanced object detection models like YOLOv8 & YOLO-NAS.
Contribution and Labeling Guidelines
We welcome contributions from the community! If you wish to contribute images or assist with annotations:
Image Contributions: Please ensure images are high-resolution and showcase clear instances of PPE usage. Annotation Guidelines: Follow the standard annotation format as per Roboflow's Annotation Guide. Your contributions will play a vital role in enhancing workplace safety through AI-driven solutions. Github
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ppe-dataset-for-workplace-safety_dataset,
title = { PPE Dataset for Workplace Safety Dataset },
type = { Open Source Dataset },
author = { SiaBar },
howpublished = { \url{ https://universe.roboflow.com/siabar/ppe-dataset-for-workplace-safety } },
url = { https://universe.roboflow.com/siabar/ppe-dataset-for-workplace-safety },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-06-26 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the PPE Dataset for Workplace Safety project in your project.
