The SportsPose dataset

SportsPose is a large-scale 3D human pose dataset consisting of highly dynamic sports movements. With more than 176.000 3D poses from 24 different subjects performing 5 different sports activities filmed from 7 different points of view, SportsPose provides a diverse and comprehensive set of 3D poses that reflect the complex and dynamic nature of sports movements. The precision of SportsPose has been quantitatively evaluated by comparing our poses with a commercial marker-based system, achieving a mean error of 34.5 mm across all evaluation sequences. We hope that SportsPose will allow researchers and practitioners to develop and evaluate more effective models for the analysis of sports performance and injury prevention and for advancing the state-of-the-art in pose estimation in sports.

For additional information regarding the dataset and accompanying code, kindly refer to the project webpage: https://christianingwersen.github.io/SportsPose/

The dataset is intended for academic use only, and access is granted by request. The data is licensed under a custom academic license. For more information, see the 'data' page on the project webpage.