Circlip Detection Dataset
#Object Detection #Image Classification #Industrial Inspection #Quality Control
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the current industrial landscape, the challenge of ensuring the integrity of assembled components, such as circlips in rotating machinery, remains critical. Existing solutions often fail due to limitations in real-time detection capabilities and high false-positive rates, leading to costly production downtimes. This dataset aims to address these technical issues by providing high-quality, labeled images of circlip assemblies, thus facilitating the development of more accurate detection algorithms. The data is collected using high-resolution cameras in controlled assembly environments, ensuring consistent image quality. Quality control measures include multi-round annotations and expert reviews to guarantee labeling accuracy. Data is stored in JPEG format, organized into folders categorized by assembly type.
Dataset Insights
Sample Examples
8c41ef57**.png|475*750|449.88 KB
c0857034**.png|578*705|567.48 KB
3232996e**.png|1280*1061|1.75 MB
2d5731be**.jpg|460*652|81.33 KB
112eec9b**.png|539*355|89.00 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of circlips in the image. |
| defect_type | string | Possible defect types of the circlip, such as deformation or breakage. |
| material_type | string | The type of material used for the circlip, which may affect inspection and quality control. |
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 are the application scenarios of the snap ring detection dataset?
- The snap ring detection dataset is widely used in scenarios such as snap ring inspection, quality control, and automated assembly line detection in industrial production.
- What are the advantages of using the snap ring detection dataset?
- Using the snap ring detection dataset can enhance detection accuracy, reduce manual quality inspection costs, and increase the level of automation in production lines.
- What categories of images are included in the snap ring detection dataset?
- The images in the snap ring detection dataset mainly include various types of snap ring products in their actual application states within industrial settings.
- How can the snap ring detection dataset be used for machine learning training?
- The snap ring detection dataset can be used to train object detection models to identify and locate snap rings in industrial settings.
- How does the snap ring detection dataset help improve production efficiency?
- The snap ring detection dataset improves production efficiency by enhancing the accuracy and speed of automated detection, thus reducing errors and rework in the production process.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Circlip Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f4c0835161bf02eadb19d114b9dd5e36?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Circlip Detection Dataset,Industrial Quality Control,Image Detection Dataset,Machine Inspection Dataset},
version={1.0}
}Using this in research? Please cite us.
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