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PCB Component Detection Dataset

V1.0
Latest Update:
2025-10-15
Samples:
5000 records
File Size:
1.5G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Surface Mount Technology | Quality Inspection | Manufacturing
Applications:
Object Detection | Image Classification

Brief Introduction

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.

Sample Examples

ImageFile NameResolutionComponent TypeDefect TypeCircuit LayerAnnotation Quality Grade
4bb266df7f9898817023cecae920a119.png1500*1969integrated circuit, socket, connector, capacitor, resistorno obvious defectstop layer4
dd0ad0d7b91d348c4274812ee049d501.png1500*1588resistor, capacitor, chipno obvious defectstop layer5
0173174aaae436c9b68057e11702b302.png1500*2012resistor, capacitor, integrated circuitno obvious defectstop layer4
277b58385d29b0da8bc8d04bbd1bc9f2.png1500*1869Resistor, Capacitor, Connector, ICNo Obvious DefectTop Layer4
a61c89d1607d7f4864e194f5384705ad.png1500*2020Resistor, Capacitor, Integrated Circuit, etc.No Obvious DefectTop Layer5

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
component_typestringThis field identifies the type of component recognized on the PCB, such as resistors, capacitors, etc.
defect_typestringThis field identifies common defect types on the PCB, such as soldering issues, missing components, etc.
circuit_layerstringThis field represents the circuit layer captured in the PCB board photo, with possible values such as top layer, bottom layer, etc.
annotation_qualityintThis 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

ItemContent
Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China’s Data Security Law / EU GDPR / supports enterprise data access logs

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