DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings
Maxime Istasse, Vladimir Somers, Pratheeban Elancheliyan, Jaydeep De, Davide Zambrano
Abstract
Advanced data collection technologies, computational tools, and sophisticated algorithms have a revolutionary impact on sports analytics on various aspects of sports, from athletes performance to fan engagement. Computer Vision (CV) and Deep Learning (DL) technologies play a crucial role in predicting players and game states from videos, but their effectiveness depends on the quantity and quality of training data, especially in sports with unique dynamics and camera angles. Each sport comes with its own set of challenges.
Topics & Concepts
Computer scienceAthletesSports biomechanicsSet (abstract data type)Quality (philosophy)AnalyticsData scienceArtificial intelligenceComputer gameHuman–computer interactionMultimediaSimulationPhysical therapyProgramming languageMedicineEpistemologyPhilosophyAnomaly Detection Techniques and ApplicationsHuman Pose and Action RecognitionAdvanced Neural Network Applications