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 2,286 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, and Roboflow, 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.

本数据集专为工业安全应用场景设计，提供高质量且标注完善的个人防护装备（Personal Protective Equipment, PPE）检测相关数据，尤其适用于计算机视觉模型的训练与部署应用。该数据集包含2286张分辨率为640×640像素的图像，核心聚焦于个人防护装备的检测任务，例如安全帽与反光背心的穿戴状态识别。数据来源覆盖多元渠道，包含GitHub、Kaggle、Roboflow等公开平台，以及不同真实场景下的实拍照片，以此保障数据集的多样性，使其能够适配多种应用场景与落地需求。
本数据集的标注与分类遵循官方YOLO规范，可直接适配YOLOv8、YOLOv11等主流目标检测框架，为研究者、开发者与行业从业者提供了重要的资源支撑。该数据集可用于优化工业安全监控系统，提升建筑工地的安全管理水平。