中华白海豚声影像自动识别分析监测数据集

通过在目标监测水域选择合适位置布放水声记录仪对水下声音进行连续采集并提取中华白海豚声信号进行分析处理，同时联合岸基摄像头拍摄白海豚出水视频并进行在线自动智能识别分析，最后将识别分析的结果实时回传至监测平台进行直观展示，该数据集未涉及内部数据采集。

This dataset is developed through the following workflow: First, deploy acoustic recorders at appropriate locations in the target monitoring waters to continuously collect underwater acoustic signals, then extract and analyze the acoustic signals of Indo-Pacific humpback dolphins (Sousa chinensis). Concurrently, use shore-based cameras to capture videos of Indo-Pacific humpback dolphins surfacing and conduct online automatic intelligent recognition and analysis. Finally, transmit the results of the recognition and analysis back to the monitoring platform in real time for intuitive display. This dataset does not involve internal data collection.

搜集汇总

背景与挑战

背景概述

中华白海豚声影像自动识别分析监测数据集包含150万条数据，通过水声记录仪和岸基摄像头采集声信号和视频影像，利用YOLOV7算法进行自动识别分析，为中华白海豚研究和保护提供数据支持。