Wiper Motor Detection Dataset

#Object Detection #Image Classification #Industrial Inspection #Quality Control
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-04-14

AI Analysis & Value Prop

The automotive industry faces significant challenges in ensuring the reliability and functionality of components like wiper motors, which are critical for vehicle safety. Current inspection methods often rely on manual checks, leading to inconsistencies and potential oversight. This dataset aims to address the need for automated detection and classification of wiper motor conditions through advanced image processing techniques. The dataset comprises images collected from various angles and lighting conditions to ensure robustness. Data was captured using high-resolution cameras in controlled environments, with strict quality control measures such as multi-round annotations and expert reviews to guarantee accuracy. Images are stored in JPG format, organized by categories of motor conditions, and labeled accordingly. The dataset structure allows for efficient access and retrieval for training machine learning models.

Dataset Insights

Sample Examples

3ba4eb6b**.jpg|1900*3380|1.71 MB

4336b23c**.jpg|1080*530|361.75 KB

19eb64d5**.jpg|1280*1707|951.77 KB

d822367a**.jpg|2277*1280|1.07 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
image_qualitystringThe overall quality of the image, such as clarity, blurriness, etc.
defect_typestringPossible defect types in the wiper motor, such as cracks, deformation, etc.
defect_locationstringDescription of the location of defects on the wiper motor in the image
anomaly_presencestringWhether there are any abnormalities or defects in the image
object_countintThe number of wiper motors or their components in the image
object_sizestringDescription of the size of the object in the image, such as small, medium, large
object_orientationstringThe orientation or angle of the wiper motor in the image
lighting_conditionsstringThe lighting conditions when the image was taken, such as bright, dark, normal, etc.
background_complexitystringThe complexity of the image background, such as simple, moderate, complex, etc.
color_profilestringThe color configuration of the image, such as monochrome, color.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the purpose of the Wiper Motor Detection Dataset?
The Wiper Motor Detection Dataset is used to support image classification and defect detection tasks in the industrial sector, helping to detect and identify defects in wiper motors.
What type of data is included in the Wiper Motor Detection Dataset?
The dataset includes data in the form of images, which are used for object detection and defect analysis.
In which industry sector is the Wiper Motor Detection Dataset widely used?
This dataset is widely used in the industrial sector, especially in applications related to the inspection of mechanical components.
What is the main goal of the Wiper Motor Detection Dataset?
The main goal of the Wiper Motor Detection Dataset is to provide reliable data support to improve defect detection and quality control of wiper motors.
How does the Wiper Motor Detection Dataset help improve industrial manufacturing processes?
By providing accurate image classification and defect detection, this dataset helps identify defects in the production process, thereby improving industrial manufacturing processes.

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Cite this Work

@dataset{Mobiusi2025,
  title={Wiper Motor Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/9deb49dcb2c662fd5d3e21ca7cecbf38?dataset_scene_id=2},
  urldate={2025-08-28},
  keywords={Wiper Motor Dataset,Automotive Inspection Dataset,Image Classification for Wiper Motors,Object Detection Dataset,Industrial Quality Control},
  version={1.0}
}

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