EgoExo-Fitness

该数据集是一个全新的全身动作理解数据集，它包含了从同步的第一人称视角和固定第三人称视角相机记录的健身序列视频。这些视频配备了丰富的标注信息，包括两个级别的时序边界和可解释的动作判断。此外，该数据集还包含了技术关键点的验证标注、对动作执行的自然语言评论，以及动作质量评分。任务涵盖了动作分类、动作定位、跨视角序列验证、跨视角技能确定，以及基于指导的动作执行验证。

This dataset is a novel full-body action understanding dataset. It consists of fitness sequence videos recorded by synchronized first-person and fixed third-person cameras. These videos are equipped with rich annotation information, including two-level temporal boundaries and interpretable action judgments. In addition, this dataset also includes verification annotations for technical key points, natural language comments on action execution, and action quality scores. The covered tasks include action classification, action localization, cross-view sequence verification, cross-view skill determination, and guidance-based action execution verification.

搜集汇总

背景与挑战

背景概述

EgoExo-Fitness是一个多视角健身动作数据集，包含同步的第一人称和第三人称视频，并配有丰富的标注信息，支持动作分类、定位等多种任务。