Watching basketball game videos is an important reference for coaches to analyze the team's tactics. Detecting the athletes' actions on the court in real time through an object detection algorithm can help coaches find team problems and formulate solutions. Aiming at the problems of fewer basketball players' action detection datasets and the difficulty of action detection, this paper proposes a dataset of basketball players' action detection, BPAD (basketball player action dataset), and an object detection algorithm, YOLOSS (YOLOv4 SimSE and SPPFCSPCG), in which the BPAD dataset consists of 2,...
