Illegal Parking Induced Traffic Blockage Detection Dataset

With the increase in urban traffic flow, illegal parking incidents occur frequently, severely affecting the smoothness and safety of traffic. Existing traffic monitoring systems face limitations such as low efficiency and insufficient accuracy in recognizing and handling illegal parking issues. This dataset aims to enhance the detection capability of illegal parking incidents through high-quality video data to meet the needs of intelligent traffic management. The dataset includes illegal parking videos from different cities and time periods, ensuring diversity and broad applicability. Data collection used high-resolution cameras set up in busy traffic sections to ensure video quality. To ensure data quality, a combination of multiple annotation rounds and consistency checks was adopted, with the annotation results finally determined after expert review. The data is stored in MP4 format and organized by time and place.