Power Socket Copper Plate Installation Detection Dataset
#Object Detection #Image Classification #Industrial Inspection #Quality Control
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-04
AI Analysis & Value Prop
In the industrial sector, the quality of power socket assembly is critical to ensure safety and functionality. However, there are significant challenges such as inconsistent installation and human error, leading to potential failures in electrical systems. Existing solutions often rely on manual inspection, which can be time-consuming and error-prone. This dataset aims to address these issues by providing a comprehensive resource for training machine learning models that can automatically detect whether conductive components are installed correctly, thereby improving efficiency and reliability. The dataset consists of 5000 images captured under controlled lighting conditions using high-resolution cameras, focusing on various angles of power sockets. Quality control measures include multi-round annotation, consistency checks among annotators, and expert reviews to ensure high annotation precision. The data is stored in JPG format, organized in a directory structure that allows for easy access and retrieval of images based on their installation status.
Dataset Insights
Sample Examples
c42b150a**.png|1117*1500|1.70 MB
27692833**.png|1268*1500|1.90 MB
dc15d914**.png|1509*1500|1.47 MB
99627a18**.png|1128*1500|1.22 MB
cd0bdc24**.png|1535*1500|2.80 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| socket_type | string | The specific model or type of power socket. |
| copper_tab_presence | boolean | Whether a copper clip is detected in the power socket. |
| conductance_status | boolean | The detection result of whether the power socket is conductive. |
| defect_type | string | Detected types of socket defects, such as missing copper pieces, misalignment, etc. |
| inspection_angle | string | The angle or perspective of the camera when capturing the socket image. |
| copper_tab_position | string | The specific position of the copper piece in the socket, used for precise location detection. |
| anomalies_flag | boolean | Whether the image is marked as having anomalies or potential installation issues. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 is the Power Outlet Missing Copper Piece Detection Dataset?
- The Power Outlet Missing Copper Piece Detection Dataset is an object detection dataset focused on identifying whether the conductive components in power outlets are correctly assembled to ensure product conduction.
- What types of images does the dataset contain?
- The dataset contains images of power outlets from the industrial sector for object detection purposes.
- In what scenarios is the Power Outlet Missing Copper Piece Detection Dataset useful?
- This dataset is highly useful in scenarios where it is crucial to ensure that conductive components are properly assembled in power outlet products, such as in automated inspection systems on production lines.
- How can this dataset be used for machine learning model training?
- This dataset can be used to train machine learning models to automatically detect the absence of conductive components in power outlets, improving the efficiency and accuracy of product inspection.
- Why is the Power Outlet Missing Copper Piece Detection Dataset important?
- This dataset is crucial for ensuring the safety and functionality of power outlets, as missing conductive components may lead to product malfunctions or safety hazards.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Power Socket Copper Plate Installation Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/28245520ae954ffb865746f503d47bfe},
urldate={2025-08-28},
keywords={Power Socket Detection Dataset,Industrial Quality Control,Copper Plate Installation,Image Dataset,Object Detection},
version={1.0}
}Using this in research? Please cite us.
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