Urban Underground Drainage Network Visual Inspection and Defect Recognition Dataset
- 12423
- 0.3GB
- piece
- CATL
MOBIUSI INC
AI Analysis & Value Prop
This dataset contains pipe images for visual inspection of urban underground drainage networks, together with corresponding annotation information for identifying internal pipe defects and damage. Its fields include a unique image identifier, image and annotation file paths, class ID, image width and height, and image format, supporting organized data access and integration into computer vision workflows. It can support inspection automation, defect recognition model development and evaluation, and drainage infrastructure maintenance analysis; the actual sample count, defect classes, and image specifications should be verified against the available data.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | A unique identifier for the image. |
| image_path | string | The file path to the image. |
| label_path | string | The file path to the image annotation. |
| category_id | array | The identifier of the image's assigned class. |
| image_width | number | The image width in pixels. |
| image_format | string | The image file format. |
| image_height | number | The image height in pixels. |
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 |
Frequently Asked Questions
- What does the dataset contain?
- It contains images for visual inspection of underground drainage networks and associated annotation information. Fields include a unique image identifier, image and annotation file paths, class ID, image dimensions, and image format.
- What are the dataset size and defect classes?
- The available information does not specify the sample count, defect class list, or image resolution range. Check the supplied files and annotation documentation, and verify class definitions and data splits before training or evaluation.
- How can I access and use the data?
- Refer to the dataset listing or the provider's published channel for access instructions. Before use, check that image and annotation paths are accessible, then adapt the class mapping and annotation format to your training framework as needed.
- Can the data be used in commercial projects?
- The licensing terms are not specified in the available dataset information. Contact the provider to confirm permitted uses, attribution requirements, and any restrictions before commercial deployment, redistribution, or external model release.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Urban Underground Drainage Network Visual Inspection and Defect Recognition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/d52de101115c9b4ce77720cbf974a7db},
urldate={2026-11-04},
keywords={underground drainage dataset,pipe defect recognition,drain inspection images,municipal sewer defects,pipe visual inspection,intelligent sewer inspection,annotated underground pipe images,drainage maintenance data},
version={1.0}
}Using this in research? Please cite us.