Industrial Weld Surface Defect Detection and Localization Dataset
- Records
- 6420
- Size
- 0.3GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
This dataset contains images of industrial weld surfaces paired with defect categories and location annotations, supporting the recognition and localization of defects in weld imagery. Records also include image identifiers, image and annotation file paths, image width and height, and file format to support data management and integration into training workflows. It is suited to automated weld quality inspection, production-line visual inspection, and the development and evaluation of industrial defect recognition models; sample counts, defect category distribution, and image specifications should be verified against the available samples.
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. |
| class_name | string | The name of the defect category assigned to the image or annotation. |
| image_path | string | The file path to the image. |
| label_path | string | The file path to the annotation file. |
| image_width | number | The width of the image in pixels. |
| image_format | string | The image file format. |
| 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?
- It contains industrial weld surface images with defect categories and location annotations. Fields also include image identifiers, image and annotation file paths, image width and height, and file format.
- Are sample counts and image specifications provided?
- The available information does not specify the total number of samples, resolution ranges, or counts by defect category. Review the available samples and annotation files before use to confirm that the dataset size and specifications meet your project requirements.
- Which models and tasks is it suitable for?
- The data can support weld surface defect detection, defect classification, and image-region localization, as well as the development and evaluation of industrial visual inspection workflows. Suitability depends on the annotation format, category distribution, and defect types required by your project.
- How can I obtain the data, and what are the licensing terms?
- Use the dataset product page or the provider's published channel to request access. The available information does not specify the delivery method or license scope, so confirm the included files, commercial-use rights, redistribution restrictions, and applicable terms before use.
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Cite this Work
@dataset{Mobiusi2026,
title={Industrial Weld Surface Defect Detection and Localization Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/43065047dc105c3292c754ed8b6def20?dataset_scene_id=2},
urldate={2026-11-03},
keywords={industrial weld defect dataset,weld surface defect detection,weld quality inspection data,industrial object detection data,weld defect annotations,welding visual inspection,surface defect recognition,industrial image dataset},
version={1.0}
}Using this in research? Please cite us.