Wind Turbine Blade Surface Damage Inspection and Defect Recognition Dataset
- Records
- 3264
- Size
- 0.1GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset is designed for surface inspection of wind turbine blades. It includes blade image records and corresponding annotation file paths, along with category IDs, image dimensions, and format information to support image and annotation management. The data can be used to train and evaluate blade surface damage recognition models, supporting defect screening, inspection assistance, and image analysis in wind turbine maintenance workflows.
Overview
Dataset Insights
Preview
Sample Examples
b417be05**.jpg||0 B
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 file associated with the image. |
| category_id | array | The identifier for the category assigned to the image or annotation. |
| image_width | number | The image width, typically measured in pixels. |
| image_format | string | The image file format. |
| image_height | number | The image height, typically measured 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 include?
- It includes image-related records for blade surface inspection, annotation file paths, category IDs, and fields for image width, height, and format. Image records can be linked with annotations using the corresponding paths and record information.
- Are the defect categories and dataset size specified?
- The available information does not specify defect category names, sample counts, or image resolution ranges. Check the product details or sample files before use to confirm the category definitions, dataset size, and file specifications.
- Which model tasks is the data suitable for?
- It can support visual tasks such as blade surface defect classification, object detection, and defect region localization, as well as inspection image screening and model evaluation. The available tasks depend on the annotation types and category structure in the annotation files.
- How can I obtain the data, and what are the licensing terms?
- The delivery method, permitted uses, and commercial licensing terms are governed by the product page and its license. Before deployment or redistribution, confirm that the license covers your intended use and verify which image and annotation files are included.
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Cite this Work
@dataset{Mobiusi2026,
title={Wind Turbine Blade Surface Damage Inspection and Defect Recognition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/01bed9451b60946e7884afd1763de2d2?dataset_scene_cate_type=5},
urldate={2026-11-03},
keywords={wind turbine blade defect dataset,blade inspection images,surface damage recognition,wind turbine defect detection,wind turbine maintenance data,blade image annotations,wind energy visual AI,blade defect detection model},
version={1.0}
}Using this in research? Please cite us.