Datasets:
tags:
- Image Classification
- Object Detection
- Industrial Inspection
- Quality Control
- Defect Detection
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Connecting Rod Structure Detection Dataset
size_categories:
- 1B<n<10B
Connecting Rod Structure Detection Dataset
The Connecting Rod Structure Detection Dataset is created to address the increasing demand for quality control in the industrial sector, where the detection of defects such as deformation and misalignment in connecting rods is critical. Traditional inspection methods are often labor-intensive and prone to human error, leading to inefficiencies and high costs. This dataset aims to provide a robust solution for automated defect detection through advanced image processing techniques. The dataset includes images collected using high-resolution cameras in controlled industrial environments, ensuring variations in lighting and angles are accounted for. Data quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure high accuracy and reliability. Images are stored in JPG format, organized by categories based on defect types.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| defect_annotations_present | boolean | Indicates whether defect annotations are present in the image. |
| rod_position | string | The position of the connecting rod in the image, such as center or edge, used for detection and analysis. |
| rod_orientation | string | Description of the connecting rod's orientation, such as horizontal or vertical, used for identification and classification. |
| rod_material_type | string | The material information of the connecting rod, used for material analysis and comparison. |
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