CAMBER Dataset – Road Survey Video #8
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866902061952532480 |
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| contents | 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: 2026-02-25 15:57:53 UTC **Processing Information:** - Video ID: 8 - Processing status: Pending - Safety assessment: Green (Totally Safe) - Associated Route ID: 8 **Machine Learning Model:** - Model: models/Yolov8-fintuned-on-potholes.pt - Detected classes: manhole,pothole,speedbreaker,potholes - 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18774008 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CAMBER Dataset – Road Survey Video #8 root CAMBER road-monitoring video-survey infrastructure-assessment computer-vision YOLO malfunction-detection manhole pothole speedbreaker potholes 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: 2026-02-25 15:57:53 UTC **Processing Information:** - Video ID: 8 - Processing status: Pending - Safety assessment: Green (Totally Safe) - Associated Route ID: 8 **Machine Learning Model:** - Model: models/Yolov8-fintuned-on-potholes.pt - Detected classes: manhole,pothole,speedbreaker,potholes - 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. |
| title | CAMBER Dataset – Road Survey Video #8 |
| topic | CAMBER road-monitoring video-survey infrastructure-assessment computer-vision YOLO malfunction-detection manhole pothole speedbreaker potholes |
| url | https://doi.org/10.5281/zenodo.18774008 |