$\textbf{P$^2$A}$: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. (arXiv:2207.12730v1 [cs.CV])

While deep learning has been widely used for video analytics, such as video
classification and action detection, dense action detection with fast-moving
subjects from sports videos is still challenging. In this work, we release yet
another sports video dataset $\textbf{P$^2$A}$ for $\underline{P}$ing
$\underline{P}$ong-$\underline{A}$ction detection, which consists of 2,721
video clips collected from the broadcasting videos of professional table tennis
matches in World Table Tennis Championships and Olympiads. We work with a crew
of table tennis professionals and referees to obtain …

arxiv benchmark cv dataset detection tennis videos