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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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+*.webp filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- Video classification
+- action recognition
+- behavior detection
+- Environmental monitoring
+- urban management
+- water resource optimization
+license: cc-by-nc-sa-4.0
+task_categories:
+- video-classification
+language:
+- en
+pretty_name: Watering Operation Video Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Watering Operation Video Dataset
+
+Currently, urban environmental management faces challenges of water resource wastage and low efficiency in watering operations. Traditional manual watering management lacks precision and cannot optimize water usage in real time. Through video analysis technology, this dataset helps address the issues of efficiency improvement and resource conservation in watering operations. During data collection, high-resolution camera equipment was used to capture watering operations under different weather conditions. To ensure high data quality, we employed multi-round annotation and professional review for data verification. The annotation team consists of 20 members with backgrounds in environmental science. Data preprocessing includes video clipping, frame extraction, and label aggregation. The final data is stored in MP4 format, organized for easy retrieval and classification. The core advantages of this dataset are high precision and consistency, employing a strategic new method for video annotation to ensure detail completeness. Compared to other similar datasets, it offers more comprehensive environmental scene changes. In terms of application, it improves resource usage efficiency in watering operations and reduces water consumption. Additionally, this dataset has strong scalability, suitable for training multiple related tasks, covering a wider range of application fields.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| duration | string | Duration |
+| quality | string | Resolution |
+| wet_surface_presence | boolean | Indicates whether wet surfaces are present in the video. |
+| water_spray_visibility | boolean | Indicates whether water spray is visible in the video. |
+| operation_efficiency | float | Efficiency score of the watering operation. |
+| vehicle_presence | boolean | Indicates whether watering vehicles are present in the video. |
+| weather_conditions | string | Weather conditions displayed in the video. |
+| day_or_night | string | Indicates whether it is day or night in the video. |
+| number_of_passes | integer | Number of times the watering vehicle passes in the video. |
+| people_presence | boolean | Indicates whether people are present in the video. |
+| puddle_formation | boolean | Indicates whether puddles are formed in the video. |
+| vegetation_presence | boolean | Indicates whether vegetation is present in the video. |
+
+## 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/35b057c422fd7d25ad27c6cd6a30996c?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com