Spark Plug Inspection Dataset

#Object Detection #Model Training #Target Detection #High-precision Model Training
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

In the current industrial landscape, the detection and quality control of small components like spark plugs face significant challenges, such as high variance in manufacturing defects and the need for precise measurements. Existing solutions often struggle with accuracy and speed, resulting in delays and increased operational costs. This dataset aims to address the need for high-precision training models that can reliably detect defects in spark plugs, enhancing quality assurance processes. The dataset comprises images collected using high-resolution industrial cameras in controlled environments, ensuring optimal lighting and minimal noise. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to guarantee high annotation accuracy. The dataset is organized in JPG format, with structured folders for easy access and management.

Dataset Insights

Sample Examples

7516bac5**.png|1271*1700|2.58 MB

4cdd84ef**.png|1300*1700|1.48 MB

e8521b35**.png|1413*1700|2.57 MB

c4bd5e25**.png|2292*1700|4.99 MB

fb403352**.png|1766*1700|3.18 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
object_orientationstringThe orientation information of the spark plugs in the image, such as horizontal or vertical.
object_sizefloatThe size of the detected spark plugs.
object_defect_statusstringIndicates whether there are any defects on the spark plugs, such as wear or cracks.
object_typestringThe type or model information of the spark plugs.

Compliance Statement

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

Frequently Asked Questions

What is the Spark Plug Detection Dataset?
The Spark Plug Detection Dataset is an object detection dataset focused on the industrial sector, primarily used for detecting small parts like spark plugs.
In which industries can the Spark Plug Detection Dataset be applied?
This dataset is mainly applied in industrial inspection fields, particularly in precision manufacturing and automotive manufacturing.
Why is the Spark Plug Detection Dataset needed?
The Spark Plug Detection Dataset helps improve the accuracy of detection models, especially for small parts, making it an important tool for quality control in precision industries.
How does the Spark Plug Detection Dataset help improve model performance?
This dataset provides high-quality annotated data suitable for training high-precision models, focusing on the detection and recognition of small objects.
What distinguishes the Spark Plug Detection Dataset from other datasets?
The Spark Plug Detection Dataset focuses on detecting small parts, whereas other datasets may cover larger or different domain targets more broadly.

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Cite this Work

@dataset{Mobiusi2025,
  title={Spark Plug Inspection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/eba6f08f8c9c131ca375b5467c336f1a},
  urldate={2025-08-28},
  keywords={spark plug detection,industrial quality control,object detection dataset,high precision model training},
  version={1.0}
}

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