USB Interface Detection Dataset
#Object Detection #Image Classification #Industrial Inspection #Quality Control #Automated Assembly
- 20000 records
- 3.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the current industrial landscape, the assembly of interface components faces challenges such as high error rates in manual inspections and the need for consistent quality control. Existing solutions often rely on traditional visual inspection methods that are prone to human error and inefficiencies. This dataset aims to address the technical challenge of accurately detecting the assembly positions of USB interfaces to enhance automated inspection systems. The dataset comprises images captured in controlled environments using high-resolution cameras, ensuring clarity and detail. Quality control measures include multi-round annotations by trained personnel, consistency checks, and expert reviews to maintain high accuracy. The images are stored in JPG format, organized by their respective categories and annotations.
Dataset Insights
Sample Examples
abc71ca1**.png|1280*1701|1.89 MB
a468dc77**.png|1280*736|440.89 KB
015a774b**.png|1280*1550|1.36 MB
6dbb29f7**.png|1280*1614|2.28 MB
f3a4ce08**.png|1280*1237|1.50 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| label | string | Detection result label corresponding to the image. |
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 types of images are included in this USB interface detection dataset?
- This dataset primarily includes high-resolution images of USB interfaces and related industrial components.
- How can this dataset be used to improve the accuracy of industrial USB interface detection?
- By training deep learning models, this dataset can effectively improve the accuracy of USB interface detection.
- What field is the USB interface detection dataset best suited for?
- The dataset is best suited for the industrial field, particularly for interface detection in electronics manufacturing and assembly.
- What are the advantages of this dataset in object detection tasks?
- This dataset provides high-quality annotations and diverse types of USB interfaces, which can better train detection models.
- What should be considered when using this dataset for USB interface detection?
- Data preprocessing is necessary to ensure that the model can adapt to changes in various industrial environments.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={USB Interface Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/d603011491a3cea98408f573bcc9a7d6?dataset_scene_id=2},
urldate={2025-08-28},
keywords={USB interface detection,industrial image dataset,object detection dataset,quality control in industry},
version={1.0}
}Using this in research? Please cite us.
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