Train Carriage Operational Safety Dataset

The current transportation industry faces significant challenges in train operational safety, particularly in carriage monitoring and accident prevention. Most existing monitoring systems rely on manual inspections, which are inefficient and difficult to comprehensively cover, making it hard to eliminate safety hazards. This dataset aims to support the research and application of automated object detection technology by providing high-quality images for carriage safety monitoring, enhancing monitoring efficiency and reducing the accident rate. The dataset includes images of train carriages in operation, captured in different environments and time periods with high resolution to ensure image quality. Professional photography equipment was used during data collection, capturing in various lighting and weather conditions, and rigorous quality control measures, including multiple rounds of annotation and expert review, were taken to ensure the consistency and accuracy of data annotation. The data is stored in JPEG format, with a clear structure that is easy to use for subsequent machine learning tasks.