Photovoltaic Solar Panel Surface Defect Detection and Localization Dataset
- Records
- 5153
- Size
- 0.4GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
This dataset is designed for identifying surface defects on photovoltaic solar panels and includes images with corresponding annotations for training and evaluating visual detection models. Each record provides fields such as an image identifier, image and annotation file paths, class ID, image width and height, and image format, supporting data organization, annotation parsing, and training pipeline setup. It is suitable for photovoltaic module quality inspection, defect localization, and intelligent inspection system development.
Overview
Dataset Insights
Preview
Sample Examples
1f934ec1**.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 associated with the image. |
| category_id | array | The identifier for the annotated defect 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
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 photovoltaic solar panel images and related annotation information, with fields for image identifiers, image paths, annotation file paths, class IDs, image dimensions, and image formats.
- Which model tasks can it support?
- It can support surface defect detection and localization for photovoltaic modules. It may also serve as a starting point for defect classification, model validation, and quality inspection workflow prototyping.
- What are the dataset size and image specifications?
- The available information does not specify the sample count, exact resolution range, or complete defect class list. Each record includes image width, height, and format fields; verify the specifications against the delivered files and annotations.
- How can I access the data, and what are the licensing terms?
- Check the dataset product page for available access methods, delivery details, and licensing terms. Confirm the applicable license scope and restrictions before using the data in commercial projects or redistributing it.
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Cite this Work
@dataset{Mobiusi2026,
title={Photovoltaic Solar Panel Surface Defect Detection and Localization Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/dd347458e2e355ec20424acd0b3777d8?dataset_scene_cate_type=5},
urldate={2026-11-03},
keywords={photovoltaic defect detection dataset,solar panel defects,PV module images,surface defect annotations,object detection data,defect localization data,solar panel inspection,automated PV inspection},
version={1.0}
}Using this in research? Please cite us.