Universal Joint Component Detection Dataset
#Object Detection #Image Classification #Automotive Inspection #Mechanical Quality Control
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The Universal Joint Component Detection Dataset is designed to address the challenges faced in the automotive and mechanical transmission quality inspection industry. Currently, industries are experiencing difficulties in ensuring the quality and reliability of components, leading to increased failure rates and safety concerns. Existing solutions often lack adequate defect detection accuracy and fail to adapt to various inspection conditions. This dataset aims to enhance defect detection capabilities using advanced image processing techniques. The dataset comprises images captured using high-resolution cameras in controlled environments, ensuring optimal lighting and focus. Quality control measures include multiple rounds of annotations, consistency checks, and expert reviews to maintain high annotation accuracy. The dataset is structured in JPG format, organized with each image corresponding to its metadata, including defect labels and quality scores.
Dataset Insights
Sample Examples
a569564b**.png|1280*1622|2.58 MB
87cdf0c4**.png|1280*1448|1.87 MB
7e992542**.png|1280*1447|1.71 MB
26651e2d**.png|1280*1696|2.38 MB
73b880df**.png|1280*1641|2.56 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| component_type | string | The specific type of universal joint component, used to differentiate between different models or categories. |
| defect_type | string | The type of defect in the universal joint component identified in the image, such as cracks, wear, etc. |
| defect_location | string | The specific location of the defect identified in the image of the universal joint component. |
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
- What information does the Universal Joint Component Detection Dataset contain?
- The Universal Joint Component Detection Dataset primarily contains image data for object detection, used to assess the quality of universal joint components.
- How to use this dataset for universal joint component quality detection?
- The dataset images can be used to train deep learning models to automate quality detection of universal joint components.
- What industrial applications is this dataset suitable for?
- This dataset is suitable for industrial applications such as robotic automatic detection and production line quality control, especially involving universal joint component inspection.
- How does this dataset differ from other object detection datasets?
- This dataset focuses on the detection of specific industrial components, namely universal joints, making it more industry-specific compared to general object detection datasets.
- Why choose universal joint components for object detection research?
- Universal joints are crucial components in various industrial applications, and their quality directly affects the performance and safety of the overall equipment, making quality detection significant.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Universal Joint Component Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f783e9517d93446240131f58f49b8814},
urldate={2025-08-28},
keywords={universal joint detection dataset,automotive quality control,image dataset for defect detection},
version={1.0}
}Using this in research? Please cite us.
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