README.md

---
tags:
- Semantic Segmentation
- Image Classification
- Crop Classification
- Pest and Disease Detection
- Image Recognition
license: cc-by-nc-sa-4.0
task_categories:
- image-segmentation
language:
- en
pretty_name: Onion Classification and Segmentation Dataset
size_categories:
- 1B<n<10B
---

# Onion Classification and Segmentation Dataset

The current agricultural industry faces challenges of high cost and low efficiency in crop monitoring and pest and disease detection. Existing solutions often rely on manual inspection, which is inefficient and prone to errors. This dataset aims to enhance the application capability of computer vision models in agriculture by providing high-quality onion images and segmentation annotations. The dataset construction process includes using professional cameras to shoot onion images under natural light conditions, and ensuring annotation consistency and accuracy through multiple rounds of annotation and expert review. Data will be stored in JPG format for original images and in JSON format for the corresponding mask information, facilitating subsequent deep learning training.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| object_class | string | The type of onion present in the image. |
| disease_presence | boolean | Indicates whether a disease is detected on the onion in the image. |
| lighting_conditions | string | A description of the lighting conditions when the image was taken. |
| growth_stage | string | The growth stage of the onion, such as seedling stage, maturity stage, etc. |
| surface_texture | string | A description of the surface texture characteristics of the onion. |
| defect_details | string | A description of any defects regarding the appearance or health of the onion. |

## 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/08ae71b7be4c0d4fdaf15c803b4ab044?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com