Helmet image data for risk and safety monitoring in port environments

This repository contains training, testing, and validation data to train vision models to monitor helmet usage for ocupational safety in ports. The data is provided with assigned splits, and labels are provided in YOLO format, and images are provided with Data Augmentation already applied to them. Helmet (2 class) Split Size Train 15490 Test 615 Validate 1171 This dataset contains data originally published under a CC-BY 4.0 License which is credited below: Author: Ignacio Benítez Affiliation: Secmotic Innovatin S.L. Credits: Model trained based on the next roboflow dataset, completed with other partial datasets: license: CC BY 4.0 url: https://universe.roboflow.com/dataset-bfndu/ppe-detection-using-cv-metiz/dataset/3