VWBT_9000: A Video Imagery Dataset for Nearshore Wave Breaking Type Classification

Wave breaking type is a fundamental indicator of nearshore hydrodynamic processes, directly reflecting wave energy dissipation mechanisms. With the advancement of shore-based video monitoring, remote sensing has emerged as an efficient tool for identifying wave breaking types. However, existing studies predominantly rely on static single-frame imagery, limiting the ability to capture the dynamic evolution of breaking events. In this study, we present the first publicly available video imagery dataset dedicated to wave breaking type classification. The dataset comprises 9,000 labeled wave breaking clips collected from 15 cameras across six morphologically diverse coastal sites, encompassing three primary breaking types: Spilling, Plunging, and Surging. A rigorous data curation workflow is implemented to ensure quality and consistency. This dataset offers a valuable resource for video-based wave breaking monitoring and provides technical support for advancing the understanding of nearshore wave dynamics.破波类型（wave breaking type）是近岸水动力过程（nearshore hydrodynamic processes）的核心表征指标，可直接反映波浪能量的耗散机制。随着岸基视频监测（shore-based video monitoring）技术的发展，遥感（remote sensing）已成为识别破波类型的高效工具。然而，现有研究多依赖静态单帧图像（static single-frame imagery），难以完整捕捉破波事件的动态演化过程。本研究构建了首个公开可用的、面向破波类型分类的视频影像数据集（video imagery dataset）。该数据集包含9000段标注破波视频片段（labeled wave breaking clips），采集自6个地貌特征各异的海岸站点（morphologically diverse coastal sites）的15台摄像机，涵盖三类主流破波类型：溢破波（Spilling）、卷破波（Plunging）以及激破波（Surging）。研究采用严格的数据整理流程（data curation workflow）以保障数据集的质量与标注一致性。本数据集可为基于视频的破波监测提供宝贵的研究资源，同时为深化近岸波浪动力学（nearshore wave dynamics）的认知提供技术支撑。

搜集汇总

背景与挑战

背景概述

VWBT_9000是首个公开的近岸波浪破碎类型分类视频数据集，包含来自6个海岸地点的9,000个标记视频片段，涵盖三种主要破碎类型。该数据集通过15台摄像机采集，专注于捕捉波浪破碎的动态演变过程，为近岸波浪动力学研究提供重要资源。