Railway Track Image Classification

Classifying railway track images is an important task in the field of computer vision, aimed at automatically identifying whether the track condition is normal or defective through the analysis of railway track image data. The goal of this task is to improve the efficiency and safety of railway maintenance, reduce the cost and time of manual inspections, and ensure the stable operation of the railway system. By accurately classifying track images, potential safety hazards can be detected in a timely manner, preventing accidents and enhancing the overall reliability of railway transportation.