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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: 0.01 km - Geographic coordinates: WGS84 (EPSG:4326) **Temporal Coverage:** - Recording date: 2026-03-28 18:26:41 UTC - Duration: 0.00 hours **Processing Information:** - Video ID: 42 - Processing status: Pending - Safety assessment: Green (★★★★★ Low risk) - Associated Route ID: 43 **Machine Learning Model:** - Model: models/yolov8_pothole_detection.pt - Detected classes: 0 - Confidence threshold: 0.45 - Minimum track age: 5 frames **Data Access:** The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request. **Funding:** This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.