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The SH17 dataset was created by the Department of Mechanical, Automotive and Materials Engineering at the University of Windsor, containing 8,099 annotated images covering 17 categories of personal protective equipment (PPE) such as helmets and safety glasses. Collected from diverse industrial settings, the dataset aims to enhance worker safety in manufacturing through object detection and convolutional neural network techniques. Images were sourced via the Pexels website and annotated by professionals to ensure quality and diversity. The dataset is primarily used to train and validate object detection models for PPE compliance in industrial environments.
