MOBIUSI INCThis dataset contains images for identifying natural geological hazards such as rockfalls and landslides, together with annotations locating the relevant objects. Records include image identifiers, image and annotation file paths, class IDs, image dimensions, and file formats; the sample count and geographic coverage have not been specified. The data can support hazard screening, slope monitoring, and emergency inspection workflows, as well as the development and evaluation of object detection models.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | A unique identifier for the image record. |
| image_path | string | The file path or location of the image. |
| label_path | string | The file path or location of the annotation file associated with the image. |
| category_id | array | The identifier for the annotated object class. |
| image_width | number | The width of the image in pixels. |
| image_format | string | The file format of the image. |
| image_height | number | The height of the image in pixels. |
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

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@dataset{Mobiusi2026,
title={Rockfall and Landslide Natural Geological Hazard Object Detection and Localization Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5991ed713c2b8b26be8ee73efd387c9e},
urldate={2026-11-03},
keywords={rockfall dataset,landslide dataset,geological hazard detection,natural disaster images,object detection data,hazard localization annotations,slope monitoring,geological hazard recognition},
version={1.0}
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