MOBIUSI INC| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| component_type | string | The type of key components of the fuel supply system appearing in the image. |
| defect_present | boolean | Whether there are obvious defects in the parts in the image. |
| defect_type | string | The specific type of defect in the parts, such as cracks or wear. |
| color_distribution | string | The main colors and distribution of the parts in the image. |
| surface_condition | string | The smoothness and condition of the part surface in the image, such as the presence of oxidation or stains. |
| lighting_condition | string | The lighting conditions when capturing the image, such as natural light or artificial light sources. |
| background_complexity | integer | The complexity level of the image background, usually ranging from 0 to 10. |
| dimension_ratio | string | Estimated ratio of length, width, and height of the part in the image. |
| pose_orientation | string | The posture and direction of the part in the image, such as front, side, etc. |
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 |

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@dataset{Mobiusi2025,
title={High Pressure Oil Pump Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/df9fb9ec0731df21d0caedfe7f81e203?cate=2},
urldate={2025-08-28},
keywords={High Pressure Oil Pump Dataset,Oil Pump Detection,Industrial Image Dataset,Predictive Maintenance,Anomaly Detection},
version={1.0}
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