Datasets:
tags:
- Object Detection
- Image Classification
- Industrial Inspection
- Quality Control
- Automotive Maintenance
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Engine Oil Seal Detection Dataset
size_categories:
- 10M<n<100M
Engine Oil Seal Detection Dataset
The Engine Oil Seal Detection Dataset was created to address the growing need for effective monitoring and quality control in the automotive industry, specifically focusing on oil seal integrity. Current industry practices often rely on manual inspections, which are time-consuming and prone to human error. This dataset aims to fill the gap by providing high-quality images of oil seals under various conditions for training automated detection systems. Data was collected using high-resolution cameras in controlled environments and underwent rigorous quality control measures, including multi-round annotations and expert reviews to ensure consistency and accuracy. Images are stored in JPG format, organized by categories based on seal conditions.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| seal_type | string | The type of oil seal, such as O-ring, lip seal, etc. |
| defect_type | string | Possible defect types of the oil seal, such as rupture, wear, or deformation. |
| defect_location | string | Description of the location of the oil seal defect in the image. |
| defect_size | float | Actual size of the defect, measured in millimeters. |
| image_quality | string | Clarity level of the image, such as high, medium, or low. |
| lighting_condition | string | Lighting conditions when the image was taken, such as natural light or artificial light. |
| camera_angle | string | Angle information of the camera shot, such as top view or side view. |
| oil_seal_material | string | Material information of the oil seal, such as rubber or polyurethane. |
| surface_texture | string | Texture condition of the oil seal surface, such as smooth or rough. |
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