README.md

---
tags:
- image classification
- defect detection
- industrial detection
- quality control
- safety monitoring
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Induction Cooker Ceramic Panel Crack Identification Dataset
size_categories:
- 1B<n<10B
---

# Induction Cooker Ceramic Panel Crack Identification Dataset

In the current industrial field, the crack problem of induction cooker ceramic panels poses a threat to product safety, leading to potential explosion risks. Existing detection methods mostly rely on manual inspection, which is inefficient and prone to errors. This dataset aims to provide high-quality crack image data to train machine learning models, automating the detection process and improving detection efficiency and accuracy. The dataset contains 5000 crack images taken with high-resolution cameras in actual production environments, ensuring the data is authentic and reliable. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure the accuracy of the annotations. Data is stored in JPG format for easy loading and processing.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| crack_presence | boolean | Determines the presence of cracks on the ceramic panel as a boolean value. |
| crack_location | string | The specific location of cracks on the ceramic panel, such as the upper left corner, lower right corner, etc. |
| crack_length | float | The length of the crack, measured in millimeters. |
| crack_width | float | The width of the crack, measured in millimeters. |
| crack_depth | float | The depth of the crack, measured in millimeters. |
| crack_type | string | The type of crack, such as surface crack, through crack, etc. |
| image_quality | string | The quality rating of the image, such as clear, blurred, etc. |
| lighting_conditions | string | Description of lighting conditions when the image was taken, such as natural light, artificial light, etc. |
| panel_color | string | The color of the ceramic panel of the induction cooker. |
| background_clarity | string | Description of the clarity of the background, such as clear, blurred, etc. |

## 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/d1d116f913f6339b5ca6fd4af13676de?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com