HODOR: Hydroacoustic and Optical Dataset for Oceanic Research

HODOR (Hydroacoustic and Optical Dataset for Oceanic Research) is one of the first datasets to provide synchronized sonar and optical stereo camera videos, comprising over 400 hours of continuous recordings. The purpose of HODOR is to support the development of machine learning and deep learning algorithms for marine applications, multimodal sensor fusion techniques, biomass quantification, and long-term ecological studies. The data was collected with a stationary underwater fish observatory (UFO) in the Kiel Fjord, an inlet of the Baltic Sea in northern Germany, and includes an 86-day subset of the recordings from 2021, which was selected based on automated detections using the YOLOv5 model

HODOR（Hydroacoustic and Optical Dataset for Oceanic Research）是首批提供同步声呐与光学立体相机视频的数据集之一，包含超过400小时的连续录制数据。其研发目标是支撑海洋领域机器学习与深度学习算法、多模态传感器融合技术、生物量量化以及长期生态学研究的开发工作。该数据集采集自德国北部波罗的海海湾基尔峡湾内的固定式水下鱼类观测站（UFO），并包含2021年录制的86天数据子集，该子集是基于使用YOLOv5模型完成的自动检测结果筛选得到的。