MOBIUSI INCThis dataset contains images of vehicles transporting hazardous chemicals and their corresponding annotation files, along with metadata such as class IDs, image dimensions, formats, and file paths for streamlined organization and training workflows. The annotations support vehicle localization and category recognition for vision model development in road and transport safety applications; the sample count, collection regions, and full class list have not been specified and should be verified before use. Typical applications include hazardous cargo vehicle monitoring, road inspections, and intelligent traffic safety analysis.
Overview
Preview
Schema
| 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 to the image. |
| label_path | string | The file path to the corresponding annotation file. |
| category_id | array | The identifier assigned to the annotated class. |
| image_width | number | The image width in pixels. |
| image_format | string | The image file format. |
| image_height | number | The image height in pixels. |
Trust
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={Hazardous Chemicals Transport Vehicle Object Detection and Class Annotation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/4b32e32f05289898b4b8be9dc29939a5?dataset_scene_cate_type=6},
urldate={2026-11-03},
keywords={hazardous chemicals transport vehicle dataset,hazardous cargo vehicle recognition,hazardous vehicle detection,transport vehicle object detection,vehicle class annotations,road safety monitoring data,intelligent traffic dataset},
version={1.0}
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