Mobiusi/Wiper-Motor-Detection-Dataset

Wiper Motor Detection Dataset

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.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
image_quality	string	The overall quality of the image, such as clarity, blurriness, etc.
defect_type	string	Possible defect types in the wiper motor, such as cracks, deformation, etc.
defect_location	string	Description of the location of defects on the wiper motor in the image
anomaly_presence	string	Whether there are any abnormalities or defects in the image
object_count	int	The number of wiper motors or their components in the image
object_size	string	Description of the size of the object in the image, such as small, medium, large
object_orientation	string	The orientation or angle of the wiper motor in the image
lighting_conditions	string	The lighting conditions when the image was taken, such as bright, dark, normal, etc.
background_complexity	string	The complexity of the image background, such as simple, moderate, complex, etc.
color_profile	string	The color configuration of the image, such as monochrome, color.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com