MOBIUSI INCThis dataset focuses on recognizing drivers’ eye and mouth states and perceiving drowsy-driving risk. It includes images, corresponding annotation file paths, category IDs, and image metadata such as unique identifiers, dimensions, and formats. The data can support vision models for driver monitoring, in-vehicle safety systems, and related algorithm research and evaluation; the sample count and capture conditions should be confirmed from the delivery documentation.
| 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 associated with the image. |
| category_id | array | The identifier of the category assigned to the image or annotation. |
| 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={Driver Eye and Mouth State Recognition and Drowsy Driving Risk Perception Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/11defcbccbef3817cad3cbc03729d4a3},
urldate={2026-11-04},
keywords={driver drowsiness dataset,eye state recognition,mouth state recognition,drowsy driving detection,driver monitoring,in-cabin vision data,fatigue risk perception,driving safety AI},
version={1.0}
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