16 datasets found

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...

Human activity recognition is a widely investigated problem in the field of computer vision that has diverse applications in human-computer interaction, robotics, surveillance,...

Human Activity Recognition (HAR) is an essential field within Human-Computer Interaction, ubiquitous computing [Ma et al., 2019], and the Internet of Things [Abdallah et al.,...