Mobiusi/Watering-Operation-Video-Dataset

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

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com