Oil Sump Detection Dataset
V1.0Latest Update: | 2026-01-14 | Samples: | 5000 records |
Samples: | 5000 records | ||
File Size: | 1.8G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Industrial Inspection | Quality Control | Automotive Engineering | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The Oil Sump Detection Dataset addresses the growing need for reliable industrial inspection methods in automotive manufacturing, where traditional manual inspections are often time-consuming and error-prone. Existing solutions typically lack the accuracy required to meet quality standards, leading to defects in engine assembly. This dataset aims to enhance automated detection capabilities, contributing to improved operational efficiency. Data collection was conducted using high-resolution cameras under controlled lighting conditions to ensure consistency. Quality control measures include multiple rounds of annotation by skilled annotators, consistency checks, and expert reviews to validate the annotations. The dataset is structured with images stored in JPG format, organized by categories based on the type of defects detected.
Sample Examples
| Image | File Name | Resolution | Crack Presence | Corrosion Level | Number Of Holes | Scratch Length | Dirt Coverage Ratio | Component Alignment | Coating Condition | Welding Quality | Oil Leak Presence |
|---|---|---|---|---|---|---|---|---|---|---|---|
 | 11ec5c12f98d743e01e6ea85c6beed37.jpg | 1600*1200 | No | No Corrosion | 2 | None | 0.1 | Aligned | Good | Good | No |
 | 8276413ba8e66dc2d1baea152aa59f31.jpg | 1440*1920 | No | No Corrosion | 1 | 0 | 0 | Aligned | Good | Good | No evidence of leakage |
 | 26dda0d2675e270df12b8fe3bbc80aba.jpg | 1080*1440 | No | No corrosion | 0 | 0 | 0.1 | Aligned | Intact | Good | No evidence of oil leakage |
 | ae48a889b6954c76d0b9d3cd85ca379c.jpg | 1200*900 | No | No corrosion | 12 | No scratches | 0.1 | Aligned | Intact | Good | No oil leakage |
 | 5540bc2c6e7d4193f2af032674d8aed0.jpg | 1600*1200 | No | Mild | 1 | About 10mm | 0.2 | Aligned | Worn | No welding area | No oil leakage evidence shown |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| crack_presence | boolean | This field marks whether there is a crack present in the image. |
| corrosion_level | string | Indicates the level of corrosion on the surface of the oil pan (e.g., no corrosion, mild, moderate, severe). |
| hole_count | int | The number of detectable holes in the image. |
| scratch_length | float | The length of the largest scratch in the image (unit: millimeters). |
| dirt_coverage | float | The proportion of the oil pan surface covered by dirt (a floating point number between 0 and 1). |
| part_alignment | string | The alignment status of components in the image (e.g., aligned, misaligned). |
| paint_condition | string | The condition of the surface coating (intact, worn, peeling). |
| weld_quality | string | The quality status of the welding (e.g., good, average, poor). |
| oil_leakage | boolean | Whether the image shows evidence of oil leakage. |
Compliance Statement
| Item | Content |
|---|---|
| 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 |
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