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README.md

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+---
+tags:
+- Image Classification
+- Anomaly Detection
+- Industrial Inspection
+- Quality Control
+- Product Testing
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: Refrigerator Lighting Module Contact Failure Detection Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# 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
+
+<table>
+  <tr>
+    <td>Authorization Type</td>
+    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
+  </tr>
+  <tr>
+    <td>Commercial Use</td>
+    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
+  </tr>
+  <tr>
+    <td>Privacy and Anonymization</td>
+    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
+  </tr>
+  <tr>
+    <td>Compliance System</td>
+    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
+  </tr>
+</table>
+
+## Source & Contact
+
+If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/db9b8648e02e621f4ff71f267e195ae0?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com