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README.md

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+---
+tags:
+- Target Detection
+- Image Classification
+- Crop Monitoring
+- Agricultural Management
+- Pest and Disease Identification
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: Leaf Health Status Classification Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Leaf Health Status Classification Dataset
+
+The current agricultural industry faces challenges in pest and disease monitoring and management, especially in large-scale plantations, where manual inspection is costly and inefficient. The application of existing machine vision technology in target detection and classification is not yet widespread, leading to an inability to promptly respond to pest invasions. This dataset aims to provide high-quality leaf health status classification data to support automatic pest and disease recognition and monitoring in the agricultural field. Data collection uses high-resolution cameras in different field environments to ensure coverage of various lighting and weather conditions. To ensure data quality, multiple rounds of labeling and consistency checks are conducted, reviewed by agricultural experts. Data storage uses JPG format, organized by folder structure, ensuring easy access and use. This dataset not only improves labeling accuracy (up to 95%) but also optimizes data consistency and integrity, ensuring the key features of each sample are preserved. By introducing new data augmentation techniques, the generalization ability of models is enhanced, expecting to improve performance metrics in pest and disease identification tasks by over 20%.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| leaf_health_status | string | Describes the current health status of the leaf, such as healthy, diseased, or pest-infested. |
+| disease_type | string | Identifies the specific name of the disease present on the leaf. |
+| pest_type | string | Identifies the specific name of the pest present on the leaf. |
+| damage_level | int | Quantifies the extent of damage to the leaf, which can be represented by a rating value. |
+| leaf_position | string | Describes the position of the leaf in the plant, such as top, middle, or bottom. |
+
+## 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/4be4294b730db7126ad2137549e430df?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com