60,056 high-resolution (1200x900) images of bituminous pavement across seven distress categories captured by professional inspection vehicles in southern China. Each image represents a 2x3 meter highway patch, providing a standardized view for automated road health assessment.
Use Cases
- Train image classification models to identify seven types of pavement distresses from 1200x900 resolution images
- Develop automated road health monitoring systems based on professional in-vehicle camera footage
- Evaluate the performance of texture-based anomaly detection on bituminous surfaces
Strengths
- 60,056 bituminous pavement images captured from highways in southern China
- Standardized 1200x900 resolution for each 2x3 meter pavement patch
- Categorization of seven specific types of pavement distresses
- Data collected via professional in-vehicle cameras at various times and locations