Platform Structure Crack Detection Dataset

The current transportation industry faces issues with infrastructure aging and safety hazards, particularly in the detection of platform structure cracks. Traditional manual detection is inefficient and inaccurate. Existing solutions often rely on manual inspections, which struggle to achieve high frequency and coverage. This dataset aims to help researchers and developers train more accurate automatic detection models by providing high-quality crack detection image data. The dataset contains 5000 images of platform cracks from various transportation environments. Data collection used high-definition cameras under different lighting and weather conditions to ensure diversity. Quality control measures include multiple rounds of annotation and expert review to ensure consistency and accuracy in labeling. Data is stored in JPG format, organized by image ID for easy access and processing.