Wheel Hub Detection Dataset

#Defect Detection #Quality Control #Automated Inspection #Hub Defect Identification #Tire Assembly Pre-Inspection #Wheel Error-Proofing System
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-05-06

AI Analysis & Value Prop

The Wheel Hub Detection Dataset aims to address the increasing demand for automated quality control in the automotive industry, where the accurate identification of defects is crucial for safety and performance. Current solutions often struggle with high false-positive rates and lack sufficient data diversity to train robust models. This dataset is designed to solve the problem of effective defect detection by providing a large number of labeled images under various conditions. The data is collected using high-resolution cameras in controlled lighting environments, ensuring high quality. Quality control measures include multi-round annotations, consistency checks among annotators, and expert reviews to ensure accuracy. The dataset is stored in JPEG format, organized by categories of defects and timestamps for easy access.

Dataset Insights

Sample Examples

fa78347a**.jpg|1280*979|180.73 KB

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
defect_typestringTypes of rim defects identified in the image, such as cracks, dents, etc.
defect_locationstringDescription of the specific defect location on the rim, such as a particular area or coordinates.
defect_severityintegerIndicates the severity of the defect, usually represented in levels such as 1-5.
wheel_typestringThe type or model of the rim, used to identify different kinds or specifications of rims.
surface_texturestringDescription of visible texture features on the surface of the rim.

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 is the Wheel Detection Dataset?
The Wheel Detection Dataset is an image dataset used for identifying and detecting wheel defects, aimed at enhancing the intelligence and automation in the industrial sector.
Which industry sector is the Wheel Detection Dataset suitable for?
The dataset is suitable for the industrial sector, especially in areas related to automobile manufacturing and quality control.
What are the benefits of using the Wheel Detection Dataset?
Using the Wheel Detection Dataset can significantly improve the accuracy and efficiency of wheel defect detection, thereby reducing the cost of manual inspection and enhancing product quality.
What type of data does the Wheel Detection Dataset contain?
The Wheel Detection Dataset contains image data, which is used to train and test object detection algorithms.
How can the Wheel Detection Dataset be used for automated detection?
Advanced object detection algorithms can be trained on this dataset to automate detection on new samples, enhancing speed and accuracy.

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Cite this Work

@dataset{Mobiusi2025,
  title={Wheel Hub Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/acac3d57029d305f3e16538f4828cc22?cate=2},
  urldate={2025-08-28},
  keywords={wheel hub detection dataset,automotive defect identification,quality control dataset,image dataset for inspection},
  version={1.0}
}

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