F$^3$Set - Badminton

该数据集旨在为羽毛球比赛中精确的时间事件检测和识别提供支持，其事件定义与网球相似，包含与羽毛球相关的多种元素和子类别。该数据集规模宏大，包含了高分辨率的羽毛球比赛视频，共计1008种事件类型，任务重点在于时间事件的检测与识别。

This dataset is designed to support accurate temporal event detection and recognition in badminton matches. Its event definitions are analogous to those used in tennis, covering various badminton-related elements and subcategories. It features a large-scale collection of high-resolution badminton match videos with a total of 1008 event types, and its core task focuses on temporal event detection and recognition.

搜集汇总

背景与挑战

背景概述

F$^3$Set - Badminton是一个专注于羽毛球比赛时间事件检测与识别的大规模数据集，包含高分辨率视频和1008种事件类型。其事件定义与网球相似，涵盖羽毛球相关的多种元素和子类别，旨在支持精确的时间事件分析任务。