Video Dataset for Crossroad Violation Detection

Facing increasingly complex traffic situations, crossroad violations occur frequently, presenting significant challenges for traffic management. Current monitoring systems largely depend on human observation, which is not only inefficient but also prone to missing details. The construction of this dataset aims to automatically identify violations through video analysis technology, improving the level of monitoring. Data collection uses surveillance camera equipment to record videos in real traffic environments. To ensure quality, the data undergoes multiple rounds of annotation and consistency checks, with the annotation team composed of experts in the field of traffic safety, comprising over 20 members. Data preprocessing includes noise reduction, format transcoding, and keyframe extraction, finally stored in MP4 format for convenient access and analysis.