Car Window Glass Detection Dataset
#Object Detection #Image Classification #Automatic Window Control #Defect Detection #Quality Assurance
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-20
AI Analysis & Value Prop
In the industrial sector, the need for ensuring the quality and safety of car window glasses has become paramount due to rising consumer expectations and regulatory standards. However, current automated systems often fall short in accurately detecting defects, leading to potential safety hazards. This dataset aims to bridge this gap by providing high-quality images for training machine learning models to reliably detect and classify various defects in car window glasses. The data was collected using high-resolution cameras in controlled environments, ensuring consistency. Quality control measures, including multi-round annotations and expert reviews, were implemented to enhance the dataset's reliability. The images are stored in JPG format, organized by categories of defects and conditions.
Dataset Insights
Sample Examples
9beccd7a**.png|2659*1400|3.76 MB
81f88282**.png|1071*1400|1.53 MB
43fff3d5**.png|1157*1400|1.71 MB
a70d72d9**.png|1147*1400|1.57 MB
f537e0c3**.png|1894*1400|1.07 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The quantity of target objects in the image. |
| object_type | string | The type of target objects in the image, primarily car windows. |
| object_location | string | The coordinates of the target in the image. |
| defect_presence | boolean | Determining whether there is a defect in the window glass. |
| defect_type | string | The specific type of defect in the window glass. |
| defect_location | string | The coordinates of the defect's location in the image. |
Compliance Statement
| 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 |
Frequently Asked Questions
- What is the car window glass detection dataset?
- The car window glass detection dataset is an image dataset used for training automatic window closure anti-trap systems and missing parts alarms, focusing on object detection in the industrial sector.
- What are the main applications of the car window glass detection dataset?
- The dataset is mainly applied in the automotive manufacturing industry, assisting in the development of automatic window closure anti-trap systems and missing parts alarm systems.
- What type of data does the car window glass detection dataset contain?
- The dataset contains image data required for object detection, specifically used for detecting edges and defects of car windows.
- How can the car window glass detection dataset improve system accuracy?
- Using this dataset for model training can significantly enhance the accuracy and safety of automatic window closure systems, thus reducing false alarms and missed detections.
- Why choose the car window glass detection dataset for object detection?
- The car window glass detection dataset provides extensive real-world scenario data, ideal for developing and optimizing anti-trap detection systems to ensure system reliability.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Car Window Glass Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/7b9fb4c81be82b8f2088b9deb864dceb},
urldate={2025-08-28},
keywords={Car Window Detection Dataset,Industrial Image Dataset,Automated Quality Control,Defect Detection Dataset},
version={1.0}
}Using this in research? Please cite us.
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