Window Lifter Detection Dataset
V1.0Latest Update: | 2025-10-16 | Samples: | 5000 records |
Samples: | 5000 records | ||
File Size: | 3.2G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Automotive Manufacturing | Quality Assurance | Automated Control Systems | ||
Applications: | Object Detection | Image Classification | Anomaly Detection | ||
Brief Introduction
The Window Lifter Detection Dataset addresses the pressing need for reliable quality control in automotive manufacturing, particularly for window lifter systems that face challenges such as inconsistent assembly and operational failures. Existing solutions often lack comprehensive datasets that can effectively train machine learning models, leading to inefficiencies and higher defect rates. This dataset aims to provide high-quality annotated images for training models that can detect and classify defects in window lifter assemblies. The dataset is created by capturing images in a controlled manufacturing environment using high-resolution cameras, ensuring clear visibility of components. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to enhance the reliability of the labels. The data is stored in JPEG format, organized in structured folders by categories such as defect types and assembly stages.
Sample Examples
| Image | File Name | Resolution | Image Quality | Target Location | Lighting Conditions | Camera Angle | Background Complexity | Surface Reflection | Target Orientation |
|---|---|---|---|---|---|---|---|---|---|
 | 5b24563d9c1c556558a373f3c2b19f93.png | 2089*1400 | The image has high clarity with moderate contrast | The window lifter is located slightly right of center | Good lighting | Small angle between camera and window lifter, nearly facing | Simple background, no obvious interference | No obvious reflection | Window lifter is placed horizontally |
 | 585e28392026bee5ef82224e8e760a94.png | 2359*1400 | The image is clear with distinct details and good contrast | Slightly right of center in the image | Good, even lighting | Slightly downward from the side | Simple, almost no interference | Slight reflection | Horizontally placed |
 | cf899e6814056ce2daf4ddb9882ea956.png | 2266*1400 | The image is clear with good contrast | The window lifters are located in the center of the image | Good lighting | Camera is positioned vertically downward | Simple background, almost no interference | No obvious reflection | Window lifter is placed horizontally |
 | fe5bd862365cd6e4037305e31365f4c6.png | 2343*1400 | Clear image with good contrast | Slightly right of center | Good | Shot from side upper angle | Simple background, no noticeable interference | No noticeable reflection | Window regulator buttons facing up |
 | c25c7aef48645ee0df4a1c3aa4d2a3d8.png | 2127*1400 | Clear image with good contrast | Located slightly right of center | Good lighting | Slant side angle | Simple background, no noticeable interference | No noticeable reflection | Horizontally placed, buttons facing up |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_quality | string | Information about the clarity and contrast of the image. |
| object_position | string | The coordinates of the window regulator's position in the image. |
| lighting_conditions | string | The lighting conditions at the time of the shoot, such as good, too dark, too bright, etc. |
| camera_angle | string | The angle between the camera and the object being photographed when capturing an image. |
| background_complexity | string | The complexity of the image background, whether there are distracting objects present. |
| surface_reflection | string | Whether there is significant reflection on the surface of the target in the image. |
| object_orientation | string | Information about the orientation and direction of the window regulator in the image. |
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 |
Can't find the data you need?
Post a request and let data providers reach out to you.