---
tags:
- object detection
- image classification
- agricultural monitoring
- crop pest and disease recognition
- intelligent agriculture
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Green Chili Damage Recognition Dataset
size_categories:
- 1B<n<10B
---

# Green Chili Damage Recognition Dataset

The current agricultural industry faces challenges such as untimely crop pest and disease recognition and low accuracy, leading to serious crop losses. Existing recognition solutions often rely on manual experience, which is inefficient and prone to errors. This dataset aims to provide high-quality images of green chili damage to train deep learning models and improve the accuracy and efficiency of damage recognition. Data collection uses professional cameras under different lighting and environmental conditions to ensure diversity and representativeness. In terms of quality control, the data undergoes multiple rounds of annotation and consistency checks to ensure annotation accuracy. The data is stored in JPG format, organized by category, facilitating subsequent model training and testing.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of identified object, such as damaged area or normal area. |
| damage_severity | string | Classification of the severity of damage on the green pepper, such as mild, moderate, or severe. |
| image_quality | string | Assessment of the image quality, such as clear or blurry. |
| lighting_conditions | string | Description of the lighting conditions during image capture, such as bright or dim. |

## 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/96b874b717ff3c12c8d17af5b0340b93?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com