Race Walking Fault Detection Dataset

该数据集包含了智能手机拍摄的正常竞走视频以及故意加入错误动作的竞走视频，旨在用于训练和验证一个故障检测系统。该数据集被用于训练机器学习模型，以根据竞走规则检测行走过程中的故障，其准确率超过90%。数据集中包含了来自多位运动员的数据，包括一位奥运会奖牌得主，其任务是对竞走中的故障进行检测。

This dataset comprises normal race walking videos captured by smartphones and race walking videos with intentionally added erroneous movements, which is designed for training and validating a fault detection system. It is employed to train machine learning models for detecting faults during race walking in compliance with race walking regulations, achieving an accuracy rate of over 90%. The dataset includes data from multiple athletes, including an Olympic medalist, and the aforementioned fault detection system is tasked with detecting faults in race walking.