Capacitor and Resistor Detection Dataset

#Object Detection #Image Classification #Visual Inspection #Automated Assembly #Quality Control
  • 50000 records
  • 3.2G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-09-21

AI Analysis & Value Prop

The Capacitor and Resistor Detection Dataset aims to address the increasing need for high-precision visual inspection in the industrial assembly sector. Current challenges include the high error rates in manual inspections and the lack of comprehensive datasets tailored for electronic component detection. Existing solutions often struggle with accuracy and consistency, leading to defects in the final assembly. This dataset is designed to enhance the performance of automated visual inspection systems by providing a diverse range of images of capacitors and resistors under varying conditions. The data was collected using high-resolution cameras in controlled factory environments, ensuring clarity and detail. Quality control measures included multiple rounds of annotation, consistency checks among different annotators, and expert reviews to ensure high accuracy. The dataset is organized in JPG format, with images stored in labeled folders corresponding to each component type.

Dataset Insights

Sample Examples

fa711ab9**.png|2942*1500|5.88 MB

23a600a5**.png|2669*1500|3.35 MB

c7c71db7**.png|2278*1500|3.62 MB

519fdb54**.png|1113*1500|2.11 MB

c3447b60**.png|1025*1500|1.40 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
component_typestringThe type of component detected, such as resistor or capacitor.
defect_typestringThe types of defects that may exist in the detected component, such as damage or misalignment.
orientationstringThe placement direction of the component in the image, such as horizontal or vertical.
colorstringThe color information of the component.
labelstringLabels or numbers used to identify specific components.
sizestringThe size information of the component, such as length and width.
shapestringThe geometric shape of the component, such as rectangular, circular, etc.
texturestringThe texture features of the component surface.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
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

Frequently Asked Questions

What types of data are included in the Resistor and Capacitor Detection Dataset?
The Resistor and Capacitor Detection Dataset includes high-quality images for object detection specifically used for identifying resistors and capacitors in industrial automation detection.
How does the Resistor and Capacitor Detection Dataset support industrial automation?
By providing precise images of resistors and capacitors, this dataset helps industrial automation systems accurately detect and classify electronic components, thereby improving production efficiency.
What are the potential application scenarios for using the Resistor and Capacitor Detection Dataset?
The dataset can be used to develop automated quality control systems, pick-and-place robots for electronic components, and other industrial applications requiring precise component recognition.
How high is the image quality in the Resistor and Capacitor Detection Dataset?
The images provided by this dataset are of high quality, specifically designed to meet the precise requirements of industrial inspection, ensuring the reliability of component recognition.
Which industry sectors is the Resistor and Capacitor Detection Dataset suitable for?
The Resistor and Capacitor Detection Dataset is suitable for the electronics manufacturing sector, industrial automation, and any industry requiring precise detection of resistors and capacitors.

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Cite this Work

@dataset{Mobiusi2025,
  title={Capacitor and Resistor Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/c00193383395777026a5bb2494927b8e?dataset_scene_id=2},
  urldate={2025-08-28},
  keywords={Capacitor Detection Dataset,Resistor Detection Dataset,Industrial Visual Inspection,Automated Assembly Dataset},
  version={1.0}
}

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