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README.md

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+---
+tags:
+- Image segmentation
+- feature extraction
+- Soil analysis
+- agricultural monitoring
+- precision agriculture
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-segmentation
+language:
+- en
+pretty_name: Soil Texture and Particle Segmentation Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Soil Texture and Particle Segmentation Dataset
+
+The current agricultural sector faces challenges in inadequate soil quality monitoring. Traditional soil analysis methods are often time-consuming and costly, making it difficult to meet the needs of precision agriculture. Existing solutions often lack sufficient precision and real-time capabilities, unable to effectively support agricultural decision-making. This dataset aims to provide high-quality semantic segmentation data on soil texture and particles to support automated image analysis technologies, enhancing the efficiency and accuracy of soil monitoring. Data collection is conducted using high-resolution cameras in different soil environments to ensure coverage of various soil types. In terms of quality control, we implemented multiple rounds of annotation and consistency checks, with annotation results reviewed by domain experts. Data is stored in JPG and JSON formats, organized in such a way that each image corresponds to one record, containing image data and its label information.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| soil_type | string | The specific type of soil in the image, such as sand, loam, clay, etc. |
+| particle_size_range | string | The size range of the particles in the image (e.g., fine, small, medium, large). |
+| moisture_level | string | The moisture level of the soil in the image (e.g., dry, moist, wet). |
+| color_variation | string | The color variation of the soil and particles. |
+| particle_shape | string | The shape characteristics of the particles in the image (e.g., round, irregular, flaky). |
+
+## 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/74f7b733cdade993e0b677cd34968b3b?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com