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metadata
tags:
  - Object Detection
  - Image Classification
  - Industrial Inspection
  - Quality Control
license: cc-by-nc-sa-4.0
task_categories:
  - object-detection
language:
  - en
pretty_name: Circlip Detection Dataset
size_categories:
  - 1B<n<10B

Circlip Detection Dataset

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.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com