Refrigerator Lighting Module Contact Failure Detection Dataset
#Image Classification #Anomaly Detection #Industrial Inspection #Quality Control #Product Testing
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-22
AI Analysis & Value Prop
The current industrial sector faces significant challenges, particularly in the reliability of refrigerator lighting modules. Contact failures often lead to flickering or complete light outages, which can disrupt operations and impact customer satisfaction. Existing solutions are limited by their inability to effectively identify and address these failures in a timely manner. This dataset aims to provide a robust foundation for developing machine learning models that can detect contact failures through image analysis. The data was collected using high-resolution cameras in controlled environments to ensure consistency. Quality control measures included multi-round annotations, consistency checks among annotators, and expert reviews to confirm accuracy. The dataset is stored in JPG format, organized by labeled folders corresponding to each type of failure scenario.
Dataset Insights
Sample Examples
137be8e6**.png|2426*1500|1.75 MB
cb75b807**.png|1158*1500|1.45 MB
b53a8068**.png|1047*1500|1.02 MB
6550011d**.png|1115*1500|1.18 MB
62b6785c**.png|1165*1500|1.36 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| illuminance_level | float | The measurement value of the light intensity emitted by the refrigerator light module. |
| component_color | string | The color information of the refrigerator lighting module. |
| module_orientation | string | The orientation of the lighting module during shooting, facilitating the analysis of light distribution. |
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 image types are included in the refrigerator light module poor contact detection dataset?
- The dataset mainly includes images of normal light modules and poorly connected light modules.
- Which industry field is this dataset used for?
- The refrigerator light module poor contact detection dataset is used in the industrial field.
- How to use this dataset for object detection?
- Utilize object detection models to identify and classify poor contact issues in refrigerator light modules, aiding in fault diagnosis and quality control.
- Which machine learning task can this dataset be used to train?
- The refrigerator light module poor contact detection dataset can be used to train object detection tasks.
- Can this dataset be used for automatic detection of light modules?
- Yes, this dataset can be used to develop automated detection systems to detect poor contact issues in refrigerator light modules.
- What contribution does this refrigerator light module dataset make to the industry?
- This dataset can help identify and prevent poor contact issues in refrigerator light modules, improving product reliability and user satisfaction.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Refrigerator Lighting Module Contact Failure Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/db9b8648e02e621f4ff71f267e195ae0?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Refrigerator Lighting Dataset,Contact Failure Detection,Industrial Image Dataset,Anomaly Detection in Appliances},
version={1.0}
}Using this in research? Please cite us.
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