shangzx/Refrigerator-Lighting-Module-Contact-Failure-Detection-Dataset

Refrigerator Lighting Module Contact Failure Detection Dataset

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.

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	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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com