Inductor and Transformer Detection Dataset
#Image Classification #Object Detection #Power Module Assembly Inspection #Magnetic Component Recognition #Quality Control
- 20000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-12
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
f634eae2**.png|994*1300|1.47 MB
8a81b9af**.png|2541*1300|2.54 MB
9b1fe476**.png|1931*1300|2.78 MB
2fa9a961**.png|1030*1300|799.44 KB
06913cfc**.png|1323*1300|1.27 MB
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 |
Frequently Asked Questions
- What applications is the Inductor and Transformer Detection Dataset suitable for?
- This dataset is mainly used for power module assembly detection and magnetic component recognition, suitable for industrial automation inspection and quality control fields.
- Why choose the Inductor and Transformer Detection Dataset for object detection?
- This dataset is based on image modality, focusing on the detection of inductors and transformers, which can effectively improve the accuracy and efficiency of industrial assembly processes.
- What types of data are included in the Inductor and Transformer Detection Dataset?
- The dataset includes image data for object detection, specifically for identifying inductors and transformers.
- How to use the Inductor and Transformer Detection Dataset for machine learning training?
- The images in this dataset can be used to train deep learning models for detecting and identifying inductor and transformer components on production lines.
- What is the importance of the Inductor and Transformer Detection Dataset in the industrial field?
- In the industrial field, this dataset can be used to improve the accuracy of automated inspections, reduce the need for manual quality checks, and thus enhance production efficiency and product quality.
- What are the technical features of the Inductor and Transformer Detection Dataset?
- The dataset features high-resolution images with precise annotations, suitable for training efficient object detection algorithms.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Inductor and Transformer Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/07f31e962f57c29e8da566b903828cef},
urldate={2025-08-28},
keywords={Inductor Detection Dataset,Transformer Inspection Dataset,Industrial Image Dataset,Automated Quality Control},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder