Driver Eye and Mouth State Recognition and Drowsy Driving Risk Perception Dataset
- Records
- 12665
- Size
- 1.7GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This 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.
Overview
Dataset Insights
Preview
Sample Examples
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Schema
Technical Specifications
| 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. |
Trust
Compliance Statement
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
FAQ
Frequently Asked Questions
- What does the dataset contain?
- The dataset focuses on driver eye and mouth states and drowsy-driving risk perception. It includes images and related annotation information, with fields for image identifiers, image paths, annotation file paths, category IDs, image dimensions, and formats.
- What are the dataset size and capture conditions?
- The available information does not specify the sample count, image resolution range, capture environments, or recording equipment. Confirm the full inventory and capture documentation with the provider before acquisition or integration.
- How can the data be accessed and used?
- Contact the provider or consult the listing platform for access options, then use the delivery documentation to associate image paths with annotation file paths. Before use, verify file availability, category definitions, and annotation formats, and prepare the data splits and preprocessing for your task.
- What licensing applies, and what is the dataset suitable for?
- Commercial use, redistribution, and other license terms are not specified in the available information. Refer to the provider’s license or platform terms. The data is suitable for developing and evaluating models for driver state recognition, drowsiness risk analysis, and in-vehicle monitoring.
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Cite this Work
@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?dataset_scene_cate_type=6},
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}
}Using this in research? Please cite us.