"Personal Protective Equipment Dataset in an Industrial Cheese Production Environment (Hairnets, Masks and Gloves)"

"This dataset contains images of personal protective equipment (PPE) used in industrial cheese production environments. The dataset focuses on three critical food safety protection elements commonly required in dairy processing facilities: hairnets, face masks, and gloves.The images were collected in real operational conditions inside cheese production plants and include workers performing typical production activities. The dataset reflects real-world industrial environments including variations in illumination, worker posture, camera viewpoints, partial occlusions, and the presence of processing machinery.The purpose of this dataset is to support research in computer vision and machine learning methods for automated monitoring of food safety compliance in industrial environments. In particular, it enables the development and evaluation of models capable of detecting the correct use of personal protective equipment in dairy production facilities.The dataset is provided in YOLO object detection format and includes annotations for the following classes:- mascarilla (face mask)- cofia (hairnet)- guante (glove)This dataset was created as part of the research project:\"Automated Monitoring of Personal Protective Equipment Usage using Computer Vision and Transfer Learning in Dairy Production Plants\"conducted within the Master's Program in Computer Science at Universidad Austral de Chile.Potential applications include:\u2022 PPE detection using deep learning \u2022 Automated monitoring of food safety compliance \u2022 Industrial computer vision systems \u2022 Transfer learning experiments \u2022 Benchmarking object detection algorithms such as YOLO, Detectron2, or transformer-based detectors"