22 datasets found

The dataset used in this paper for Nordic Walking activity recognition.

The dataset used in the paper is the NFL Football dataset, which contains player and ball trajectories from the 2017 NFL season.

The dataset used in the paper is the NBA SportVU dataset, which contains player and ball trajectories from the 2015-2016 NBA season.

The Olympic Sports dataset consists of video sequences of athletes practicing 16 different sports. The dataset contains an overall number of 113,516 frames, covering a rich set...

A dataset containing 714 skill examples with 20 distinct skills performed by adult male and female gymnasts was recorded and used for evaluation of the system.

The dataset used in this paper for skill rating in competitive sports, including tennis, football, and chess.

The dataset used in this research is a collection of football players' data, including their salaries, basic characteristics, performance, and achievements.

The dataset used in this research is a collection of football players' data, including their salaries, basic characteristics, performance, and achievements.

The Sport dataset is a knowledge graph dataset.

The dataset used in this paper is a collection of time series data from 1731 women and 7876 men, members of the French swimming federation, each of them compiling an average of...

UCF Sports dataset consists of 150 videos from sport broadcasts covering 10 action categories.

The textual dataset is a collection of live sports commentaries scraped from various sources, including live score websites and YouTube.

The dataset is a collection of live sports commentaries, including audio and textual data, used to train and evaluate machine learning models for event recognition and...

A dataset of box scores for the 2022-2023 NBA regular season.

A dataset of player salaries for the 2022-2023 NBA regular season.

SoccerNet-v2 is a large-scale dataset for action spotting in soccer videos, containing over 110K action labels.

The Sports-1M dataset is a large-scale video dataset for activity recognition. It contains 600 classes of actions, with 50 hours of video footage.

The dataset used in this study for football shot accuracy analysis, containing data from 1000 shots taken by 5 different players.

Table tennis stroke detection and recognition using ball trajectory data

LSP: Large-Scale Partial Human Body Part Annotation. LSP: Large-Scale Partial Human Body Part Annotation. LSP: Large-Scale Partial Human Body Part Annotation. LSP: Large-Scale...