PCB Component Detection Dataset
#Object Detection #Image Classification #Surface Mount Technology #Quality Inspection #Manufacturing
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The PCB Component Detection Dataset is designed to address the rising challenges in the industrial sector regarding the quality control of PCB assemblies. Current methods often fall short due to the lack of high-quality, labeled data that can facilitate robust training of deep learning models. This dataset aims to fill that gap by providing a rich collection of images that represent various types of components on PCBs, including different angles and lighting conditions. The dataset was created using high-resolution cameras in a controlled environment, ensuring consistent image quality. Quality control measures were implemented, including multi-round annotations and expert reviews to ensure the accuracy of labels. The images are organized in JPG format with a structured directory that facilitates easy access and processing.
Dataset Insights
Sample Examples
4bb266df**.png|1500*1969|3.21 MB
dd0ad0d7**.png|1500*1588|2.71 MB
0173174a**.png|1500*2012|3.34 MB
277b5838**.png|1500*1869|3.00 MB
a61c89d1**.png|1500*2020|3.57 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| component_type | string | This field identifies the type of component recognized on the PCB, such as resistors, capacitors, etc. |
| defect_type | string | This field identifies common defect types on the PCB, such as soldering issues, missing components, etc. |
| circuit_layer | string | This field represents the circuit layer captured in the PCB board photo, with possible values such as top layer, bottom layer, etc. |
| annotation_quality | int | This field is used to rate the quality of automatic or manual annotations, ranging from 1 to 5, with 5 indicating the highest quality. |
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
- Which industry is the PCB component detection dataset suitable for?
- The PCB component detection dataset is primarily suitable for the industrial sector.
- What is the modality of the PCB component detection dataset?
- The modality of the PCB component detection dataset is images.
- What is the main purpose of the PCB component detection dataset?
- The main purpose of the PCB component detection dataset is to improve inspection efficiency and accuracy in the industrial sector.
- What type of dataset is the PCB component detection dataset?
- The PCB component detection dataset is an object detection dataset.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={PCB Component Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/5524e0871eba0b0c1ee1df3534daf5af},
urldate={2025-08-28},
keywords={PCB Detection Dataset,Industrial Image Dataset,Component Quality Inspection,Deep Learning for PCB},
version={1.0}
}Using this in research? Please cite us.
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