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README.md

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+---
+tags:
+- Target detection
+- image recognition
+- safety monitoring
+- Agricultural safety monitoring
+- intelligent agricultural machinery
+- operational efficiency improvement
+license: cc-by-nc-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Weeding Operation Safety Inspection Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Weeding Operation Safety Inspection Dataset
+
+The current agricultural sector faces dual challenges of operation safety and efficiency improvement. Traditional weeding methods are inefficient and prone to safety hazards. Existing monitoring technologies mostly rely on manual inspection, which is inefficient and error-prone. This dataset aims to assist in the development of intelligent detection systems by providing high-quality images for weeding operation safety inspection, to enhance operational safety and efficiency. Data collection uses high-resolution cameras to capture images in various farmland environments to ensure sample diversity. To guarantee data quality, a combination of multiple rounds of annotation and expert review is used to ensure the consistency and accuracy of annotations. Data is stored in JPEG format for easy storage and transmission.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| object_type | string | The type of agricultural-related object detected in the image, such as tractors, workers, etc. |
+| operation_status | string | The status of agricultural operations in the image, such as weeding in progress, pausing operations, etc. |
+| safety_gear_detection | boolean | Detects whether workers are wearing safety equipment such as gloves, hats, etc. |
+
+## 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/8900cdb101f801ac51cac64cf949ed97?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com