S2-Labeling: Shot-By-Shot Microscopic Badminton Singles Tactical Dataset

In this study, an affordable data collection solution is proposed for the tactical and strategic analysis of badminton. To make mass technical data collection possible, broadcast video is considered as the data source, and an intuitive and efficient video labeling tool is designed and implemented. The contribution of this work includes three folds. First, in response to the needs of the next generation of badminton technical and tactical analysis, the concept of Shot-By-Shot Labeling is proposed and a prototype data representation is formulated. Second, UI designs and computer vision techniques are utilized to develop an efficient computer-aided labeling tool for shot-by-shot technical data collection from match videos. Third, a Shot-By-Shot Labeling dataset composed of six badminton matches is shared with the community to accelerate related research. The dataset is available at https://drive.google.com/drive/folders/1eweBFa_M_CnYcqkQ5IHJ-Y8ag3TqRwUh.

I. Introduction

The development of big data analytics and technology has changed the environment of the sports industry. Quantitative data and visualized presentations are widely used to effectively assess players' performances, improve training processes, and facilitate post-game reviews. Compared to basketball and baseball, badminton comparatively rarely uses ICT and data analysis in both competitions and training. In this study, the criteria of match data collecting are redefined, and an affordable method for collecting data from badminton matches is designed and implemented, opening up the next generation of badminton technical and tactical analysis.