MOBIUSI INCThis dataset contains UAV aerial imagery and location annotations for billboards, supporting billboard detection and localization in aerial scenes. Its fields cover image identifiers, filenames, billboard categories, image paths, target annotation sets, and image dimensions and formats; the sample count and geographic coverage depend on the delivered files. It is suited to drone inspections, outdoor advertising inventory, and computer vision model training and evaluation.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | Identifier assigned to an image. |
| file_name | string | Name of the image file. |
| categories | array | Category assigned to the billboard. |
| image_path | string | File path or location of the image. |
| annotations | string | Annotations describing the targets present in the image. |
| image_width | number | Width of the image, typically measured in pixels. |
| image_format | string | File format of the image. |
| image_height | number | Height of the image, typically measured 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={UAV Aerial Billboard Detection and Localization Annotation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/36f488138a90204a1a887f7b198ae872},
urldate={2026-11-03},
keywords={UAV aerial imagery,billboard detection dataset,billboard localization annotations,aerial object detection,outdoor advertising recognition,drone image dataset,advertising asset inspection,computer vision dataset},
version={1.0}
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