Mobiusi/Inductor-and-Transformer-Detection-Dataset

Inductor and Transformer Detection Dataset

The current industrial sector faces significant challenges in the accurate inspection of power modules and magnetic components, which directly impacts product quality and reliability. Existing solutions often rely on manual inspection methods that are time-consuming and prone to human error. This dataset aims to address the technical issue of automated defect detection in inductors and transformers by providing a rich set of annotated images that can be used to train machine learning models. The data is collected using high-resolution cameras in controlled environments to ensure consistency and quality. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high accuracy. The dataset is organized in JPG format, each image accompanied by its corresponding labels and bounding box information, facilitating straightforward integration into machine learning workflows.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_count	int	The number of inductor and transformer targets in the image.
object_type	string	The detected target category, such as inductor or transformer.
object_material	string	The type of material on the target surface, such as metal, plastic, etc.
defect_presence	boolean	An indicator of whether there are defects on the target.
defect_type	string	The type of defect detected on the target, such as cracks, scratches, etc.
surface_texture	string	The texture characteristics of the target surface, such as smooth, rough, etc.

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