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.