速度攀岩训练视频标准数据集

本研究创建了名为‘速度攀岩训练视频标准数据集’的数据集，由江西应用技术学院攀岩运动中心开发。该数据集包含168条速度攀岩训练视频，通过多摄像头记录和深度学习技术进行视频标注和分析。数据集内容涵盖运动员的体位、手部和脚部放置以及时间等关键信息。创建过程涉及视频录制、数据标注和深度学习分析。该数据集旨在优化速度攀岩的训练方法，提高运动员表现，并为速度攀岩的研究提供标准化数据支持。

This study established a dataset named "Standard Speed Climbing Training Video Dataset", which was developed by the Climbing Sports Center of Jiangxi College of Applied Technology. This dataset includes 168 speed climbing training videos, which were annotated and analyzed using multi-camera recording and deep learning techniques. The dataset covers critical information such as athletes' postures, hand and foot placements, and timestamps. The dataset development process encompasses video recording, data annotation, and deep learning-based analysis. This dataset aims to optimize speed climbing training methodologies, enhance athletes' competitive performance, and provide standardized data support for speed climbing-related research.