Dataset of Personal Protective Equipment (PPE)

Designed for industrial safety applications, this dataset provides high-quality, well-annotated data focusing on the detection of Personal Protective Equipment (PPE) and is particularly suitable for the training and application of computer vision models. The dataset contains 3,212 images of 640×640 pixels and focuses on the detection of PPE, such as the wearing of helmets and reflective undershirts. The data comes from a variety of sources, including public platforms such as GitHub, Kaggle, Roboflow, and Google Images, as well as real-life photographs from different scenarios, to ensure that the data is diverse and can be adapted to a variety of scenarios and applications.
The dataset is labeled and categorized according to the official YOLO specification, and the data can be directly applied to mainstream object detection frameworks such as YOLOv8 and YOLOv11, making it an important resource for researchers, developers, and practitioners. This dataset can be used to improve industrial safety monitoring systems and enhance construction site safety.

本数据集旨在工业安全领域应用而设计，提供高品质、细致标注的数据集，专注于个人防护装备（PPE）的检测，特别适用于计算机视觉模型的训练与部署。该数据集包含3,212张640×640像素的图像，聚焦于PPE的检测，例如头盔与反光背心的穿戴。数据源自多种渠道，包括GitHub、Kaggle、Roboflow和Google Images等公共平台，以及不同场景下的真实照片，以确保数据的多样性和适用性，能够适应多种场景和应用。
该数据集按照官方YOLO规范进行标注和分类，数据可直接应用于主流目标检测框架如YOLOv8和YOLOv11，对于研究人员、开发者和从业者而言，成为一项重要的资源。本数据集可用于提升工业安全监控系统效能，并加强建筑工地的安全水平。