Window Lifter Detection Dataset
#Object Detection #Image Classification #Anomaly Detection #Automotive Manufacturing #Quality Assurance #Automated Control Systems
- 5000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-12
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
5b24563d**.png|2089*1400|1.40 MB
585e2839**.png|2359*1400|2.91 MB
cf899e68**.png|2266*1400|1.23 MB
fe5bd862**.png|2343*1400|2.81 MB
c25c7aef**.png|2127*1400|1.96 MB
Technical Specifications
| 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
| 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 |
Frequently Asked Questions
- What types of data does the Window Lifter Detection Dataset include?
- The Window Lifter Detection Dataset primarily includes image data for vehicle window automatic control systems.
- How can the Window Lifter Detection Dataset be applied in the industrial field?
- In the industrial field, the Window Lifter Detection Dataset can be used to test and verify the assembly accuracy of vehicle window automatic control systems.
- What are the benefits of using the Window Lifter Detection Dataset for object detection?
- Using the Window Lifter Detection Dataset for object detection can enhance the reliability and performance of the vehicle window systems.
- What role does the Window Lifter Detection Dataset play in the verification of vehicle window automatic control systems?
- The Window Lifter Detection Dataset plays a critical role in verifying the installation and functionality of vehicle window automatic control systems.
- Why choose images as the primary data modality for the Window Lifter Detection Dataset?
- Images are chosen as the primary data modality because they provide an intuitive way to analyze object features in vehicle window systems, facilitating object detection.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Window Lifter Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/16f12b77436f8c9f86f12675d17137f4},
urldate={2025-08-28},
keywords={window lifter dataset,automotive quality control,defect detection dataset,industrial image dataset},
version={1.0}
}Using this in research? Please cite us.
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