PCB Solder Joint Defect Detection Dataset
#Image Classification #Object Detection #Defect Inspection #Quality Control #Manufacturing
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The PCB manufacturing industry is facing challenges in maintaining high-quality standards, particularly in the detection of solder joint defects post-wave and reflow soldering. Existing solutions often rely on manual inspection or less efficient automated systems that are prone to errors. This dataset aims to address the specific technical challenge of accurately identifying and classifying defects in solder joints, fulfilling the business requirement of enhancing inspection efficiency and reliability. The dataset consists of images collected using high-resolution cameras in controlled lighting environments, ensuring clear visibility of defects. Quality control measures include multi-round annotations, consistency checks among annotators, and expert reviews to ensure high accuracy. The data is organized in JPG format, with each image labeled according to its defect type and location.
Dataset Insights
Sample Examples
b069fd44**.png|1500*1087|1.50 MB
5a12d0a7**.png|1500*1625|3.15 MB
ec98edd4**.png|1500*1768|1.88 MB
183c3b9b**.png|1500*1235|1.88 MB
64a956d5**.png|1500*1782|1.98 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| pcb_id | string | A unique identifier used to distinguish different PCBs. |
| defect_type | string | The type of defect in the solder joint, such as short circuit, cold solder joint, etc. |
| defect_size | float | The actual size of the solder joint defect, measured in millimeters. |
| defect_severity | string | The severity rating of the defect, such as minor, moderate, severe. |
| component_type | string | The type of electronic component where the solder joint is located. |
| inspection_result | string | The result of the inspection of the solder joint, such as pass or fail. |
| image_quality | string | The quality assessment of the image, such as clear or blurred. |
| lighting_condition | string | Description of the lighting conditions or environment during image capture. |
| pcb_orientation | string | Description of the orientation of the PCB in the image, such as 0 degrees, 90 degrees. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 is the PCB Solder Joint Defect Detection Dataset?
- The PCB Solder Joint Defect Detection Dataset is an object detection dataset containing images focused on detecting solder joint defects on PCBs to enhance industrial quality control.
- Which industries is this dataset suitable for?
- This dataset is mainly suitable for the industrial sector, especially industries related to electronics manufacturing and quality control.
- What problems can be solved by using this dataset?
- This dataset can effectively solve the problem of detecting solder joint defects on PCBs, thereby supporting engineers and factories in improving product quality and production efficiency.
- What is the main goal of this dataset?
- The main goal of this dataset is to help develop detection models that can better identify and classify solder joint defects on PCBs by providing high-quality image data.
- What is the importance of PCB Solder Joint Defect Detection in industrial production?
- PCB Solder Joint Defect Detection is crucial for industrial production as it directly impacts product quality, reliability, and safety, thus affecting a company's reputation and market competitiveness.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={PCB Solder Joint Defect Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/a9087da4a47f082d8897971974b42f83},
urldate={2025-08-28},
keywords={PCB defect detection,solder joint inspection,industrial quality control,image dataset},
version={1.0}
}Using this in research? Please cite us.
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