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README.md

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+---
+tags:
+- Object Detection
+- Image Classification
+- Orchard Management
+- Pest Monitoring
+- Crop Growth Assessment
+license: cc-by-nc-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Orchard Scene Recognition Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Orchard Scene Recognition Dataset
+
+The current agricultural industry faces issues with low orchard management efficiency and untimely monitoring of pests and diseases. Existing solutions offer a degree of monitoring but often lack real-time capabilities and precision, preventing farmers from reacting promptly. This dataset aims to enhance the application of object detection algorithms in orchard management by providing high-quality orchard scene images and annotations. Data collection is conducted using drones, covering different seasons and lighting conditions to ensure data diversity. We implemented multiple rounds of annotation and expert reviews to ensure annotation quality. In addition, the data is stored in JPEG format and accompanied by JSON files providing annotation information for easy use.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| object_class | string | The category of objects detected in the image, such as fruit trees, fruits, and agricultural machinery. |
+| weather_condition | string | The weather condition at the time the image was taken, such as sunny, cloudy, or rainy. |
+
+## 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/0810af8bec9c63cb96dc46d669c86818?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com