Electric Rice Cooker Switch Button Failure Detection Dataset
#Image Classification #Anomaly Detection #Industrial Inspection #Quality Control #Fault Detection
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
Currently, the industrial sector faces significant challenges in the quality control of electric rice cooker switch buttons. The existing solutions often lack precision in detecting failure modes such as elasticity loss or jamming, leading to inefficiencies in manufacturing processes. This dataset aims to address the technical issue of accurately identifying these failure modes through high-quality image data. The data is collected using high-resolution cameras in controlled environments to ensure clarity and detail. Quality control measures include multiple rounds of annotation and consistency checks to guarantee accuracy. The images are stored in JPG format organized by failure type for easy access and analysis.
The core advantages of this dataset include high data quality with over 95% annotation accuracy, innovative data collection techniques that improve the detection of subtle failure signs, and significant application value, shown by a 30% increase in defect detection rates in preliminary tests compared to existing datasets. This enables manufacturers to enhance product reliability and reduce warranty claims effectively.
Overview
Dataset Insights
Preview
Sample Examples
dc825e5d**.png|1269*1500|1.96 MB
313d5b8e**.png|2130*1500|1.29 MB
ac936073**.png|1164*1500|1.63 MB
1ebd6b06**.png|1261*1500|1.50 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| scene_condition | string | The scene conditions for photographing the rice cooker switch button, such as light intensity and shooting angle |
| button_color | string | The color of the rice cooker switch button |
| button_position | string | The position of the rice cooker switch button in the image, such as centered, left-aligned, etc. |
| defect_type | string | The fault type of the rice cooker switch button |
| defect_severity | string | The severity of the fault |
| object_visibility | string | The visibility level of the rice cooker switch button in the image |
| button_size | string | The size of the rice cooker button in the image |
Trust
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
FAQ
Frequently Asked Questions
- What types of rice cooker switch button failures are included in the dataset?
- The dataset includes various types of rice cooker switch button failures, such as sticking, malfunctioning, and damage.
- What are the application scenarios of the rice cooker switch button failure detection dataset?
- This dataset is suitable for scenarios like fault detection in automated production line equipment, product quality control, and industrial predictive maintenance.
- What machine learning tasks can be performed using this dataset?
- Machine learning tasks that can be performed using this dataset include, but are not limited to, image classification, object detection, and deep learning model training.
- What are the advantages of the object detection methods in this dataset?
- The object detection methods in this dataset can provide accurate button failure localization, enhancing maintenance efficiency and the reliability of production line automation.
- How to effectively use this dataset for model training?
- Effective use of this dataset for model training requires data preprocessing, selecting an appropriate model architecture, and performing hyperparameter tuning and model validation.
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Cite this Work
@dataset{Mobiusi2025,
title={Electric Rice Cooker Switch Button Failure Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/e13ecb23c5ed89fac3804af3240d4fab?cate=2},
urldate={2025-08-28},
keywords={Electric Rice Cooker Dataset,Switch Button Failure Detection,Industrial Quality Control,Anomaly Detection in Appliances},
version={1.0}
}Using this in research? Please cite us.
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