CAMBER Dataset – Road Survey Video #17

This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements. **Data Generation Method:** The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data. **Type of Data:** Video / Image sequences **Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track) **Spatial Coverage:** - Route distance: 1.73 km - Geographic coordinates: WGS84 (EPSG:4326) **Temporal Coverage:** - Recording date: 2026-07-06 22:19:41 UTC **Processing Information:** - Video ID: 17 - Processing status: Pending - Safety assessment: Green (★★★★★ Low risk) - Associated Route ID: 25 **Machine Learning Model:** - Model: models/yolov8_pothole_detection.pt - Detected classes: 0 - Confidence threshold: 0.45 - Minimum track age: 5 frames **Data Access:** The video and synchronized GPX route are stored on CAMBER S3 storage and referenced from this Zenodo record using stable public object URLs. Detection results are attached to this record as CSV files when available. **Funding:** This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.