MOBIUSI INCThis dataset focuses on discharge outlets in ecological and environmental settings. It includes images and corresponding annotation files, along with basic metadata such as image IDs, file paths, dimensions, and formats. The annotations support outlet detection and location identification for automated environmental inspections and computer vision development; the actual sample count and annotation format depend on the delivered files.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | Unique identifier for the image. |
| image_path | string | File path to the image. |
| label_path | string | File path to the image annotation file. |
| image_width | number | Width of the image in pixels. |
| image_format | string | File format of the image. |
| image_height | number | 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={Ecological Environment Discharge Outlet Detection and Localization Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/303c73465dc4a5fa8bd5f1054cb1df5f},
urldate={2026-11-03},
keywords={discharge outlet dataset,environmental image data,outlet object detection,outlet localization annotations,pollution source recognition,AI environmental inspection,visual outlet detection,ecological monitoring data},
version={1.0}
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