MOBIUSI INCThis dataset contains aerial images of rapeseed fields captured by UAVs, along with corresponding semantic segmentation labels for identifying and delineating field areas. Each record provides an image path, dimensions, format, unique identifier, and label path to support image-label pairing and dataset management. The data is suitable for agricultural remote sensing research, crop parcel mapping, and training or evaluating semantic segmentation models.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | A unique identifier assigned to the image. |
| mask_path | string | The file path to the semantic segmentation label for the image. |
| image_path | string | The file path to the image. |
| image_width | number | The image width in pixels. |
| image_format | string | The image file format. |
| image_height | number | The image height in pixels. |
| mask_255_path | string | The file path to the label encoded using a value of 255. |
| 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 Rapeseed Field Parcel Semantic Segmentation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/a119c631c1b76120bb138774b449194f},
urldate={2026-11-03},
keywords={UAV aerial imagery,rapeseed field dataset,rapeseed parcel segmentation,agricultural semantic segmentation,farmland remote sensing,crop recognition data,agricultural image labels,field parcel extraction},
version={1.0}
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