| --- |
| 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 |
|
|
| <table> |
| <tr> |
| <td>Authorization Type</td> |
| <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> |
| </tr> |
| <tr> |
| <td>Commercial Use</td> |
| <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> |
| </tr> |
| <tr> |
| <td>Privacy and Anonymization</td> |
| <td>No PII, no real company names, simulated scenarios follow industry standards</td> |
| </tr> |
| <tr> |
| <td>Compliance System</td> |
| <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> |
| </tr> |
| </table> |
| |
| ## Source & Contact |
|
|
| If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/f4c0835161bf02eadb19d114b9dd5e36?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com |
|
|
