Wiper Arm Detection Dataset
#Image Classification #Object Detection #Wiper Efficiency Recognition #External Damage Detection
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-07-27
AI Analysis & Value Prop
The current industrial sector faces challenges in ensuring the efficiency and safety of wiper arms in vehicles, particularly in adverse weather conditions. Existing solutions often lack precision in damage detection and efficiency assessment, leading to safety concerns. This dataset addresses these technical issues by providing a comprehensive collection of images with annotations for wiper efficiency and damage status. The data is collected from various environments using high-resolution cameras and includes images taken in different lighting conditions. Quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure data reliability. The dataset is organized in JPG format, with images stored in a structured directory based on categories. Each image is accompanied by metadata describing its characteristics.
Dataset Insights
Sample Examples
8c3d0668**.jpg|1080*1771|670.47 KB
8a296993**.jpg|1080*1339|557.89 KB
1073ed53**.jpg|776*690|220.34 KB
6f0e039b**.jpg|1080*1327|816.24 KB
154f0d5e**.jpg|1080*728|262.72 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| arm_type | string | The specific type of wiper arm, for example, traditional, frameless, etc. |
| damage_type | string | The types of damage that may occur to the wiper arm, such as cracks, bends, breaks, etc. |
| damage_severity | string | The severity of damage to the wiper arm, such as mild, moderate, severe. |
| efficiency_level | string | The wiping efficiency grade of the wiper arm, such as high-efficiency, general, low-efficiency. |
| surface_condition | string | The surface condition of the wiper arm, such as rusted, worn, intact. |
| detection_confidence | float | The confidence score of the model in detecting results for the wiper arm. |
| num_wipers | int | The number of wiper arms detected in the image. |
| visibility_condition | string | The visualization environmental conditions around the wiper arm when shooting, such as well-lit, backlit, dim. |
| attachment_position | string | The installation location of the wiper arm on the vehicle body, such as the front windshield or rear windshield. |
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 are the application scenarios of the windshield wiper arm detection dataset?
- This dataset can be used in quality inspection in the automotive manufacturing industry, fault diagnosis in maintenance services, and environmental perception in autonomous driving systems.
- What image information is included in the windshield wiper arm detection dataset?
- The images in the dataset include detailed visual information on the wiping efficiency and external force damage of the wiper arm.
- How does the windshield wiper arm detection dataset assist industrial manufacturing?
- This dataset can help industrial manufacturers improve the production quality and reliability of wiper arms through automated detection, reducing the costs of manual inspection.
- Why is the data modality of images important in the windshield wiper arm detection dataset?
- The image data modality is crucial for detecting the physical condition and fault characteristics of the wiper arm as it provides visual evidence to support automated detection algorithms.
- What technical objectives can be achieved using the windshield wiper arm detection dataset?
- Using this dataset, one can achieve technical objectives such as wear analysis, fault prediction, and anomaly detection of the wiper arm.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Wiper Arm Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/6395207bb2c48205ea17f53fa5073d01?cate=2},
urldate={2025-08-28},
keywords={Wiper Arm Detection Dataset,Industrial Image Dataset,Vehicle Safety Data,Wiper Efficiency Recognition,Damage Detection Dataset},
version={1.0}
}Using this in research? Please cite us.
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