Road Surface Analysis Dataset for Pothole Detection

Overview:

This dataset is meticulously designed for the development and validation of computer vision models aimed at detecting potholes on various road surfaces. It includes a comprehensive collection of video footage taken from vehicle-mounted cameras, thereby providing a real-world view of diverse road conditions.

Contents:

• Videos: The dataset contains over 1,000 hours of high-resolution video, covering a wide range of lighting and weather conditions.
• Annotations: Each video is meticulously annotated with bounding boxes and labels identifying potholes, and severity levels are indicated where applicable.
• Metadata: Additionally, it includes detailed information on the location, time of day, and weather conditions during each recording.

Applications:

This dataset is ideal for researchers and engineers developing AI-driven diagnostic tools for road maintenance. Furthermore, it enhances safety measures and improves vehicle navigation systems. Ultimately, it serves as a valuable resource for advancing the technology and efficiency of pothole detection and road surface analysis.