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SimulaMet-HOST/TACDEC

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Hugging Face2024-06-20 更新2024-06-11 收录
下载链接:
https://hf-mirror.com/datasets/SimulaMet-HOST/TACDEC
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资源简介:
TACDEC是一个专注于足球比赛视频中铲球事件的数据集。该数据集填补了现有开放数据集的空白,这些数据集主要关注官方足球事件如进球和红黄牌。TACDEC数据集通过利用挪威Eliteserien联赛多个赛季的视频数据,标注了425个视频中的4种铲球事件类型,共836个事件标注。数据集为开发和测试旨在理解和分析足球比赛动态的机器学习模型提供了前所未有的资源。

TACDEC is a dataset of tackle events in soccer game videos. Recognizing the gap in existing open datasets that predominantly focus on official soccer events such as goals and cards, TACDEC targets a comprehensive analysis of tackles — a critical aspect of soccer that combines technical skills, tactical decision-making, and physical engagement. By leveraging video data from the Norwegian Eliteserien league across multiple seasons, we annotated 425 videos with 4 types of tackle events, categorized into tackle-live, tackle-replay, tackle-live-incomplete, and tackle-replay-incomplete, yielding a total of 836 event annotations. The dataset offers an unprecedented resource for the development and testing of machine learning models aimed at understanding and analyzing soccer game dynamics.
提供机构:
SimulaMet-HOST
原始信息汇总

TACDEC: Dataset of Tackle Events in Soccer Game Videos

数据集概述

TACDEC是一个专注于足球比赛视频中铲球事件的数据集。该数据集通过分析挪威Eliteserien联赛多个赛季的视频数据,对425个视频进行了标注,共包含4种铲球事件类型:"tackle-live", "tackle-replay", "tackle-live-incomplete", 和 "tackle-replay-incomplete",总计836个事件标注。

数据集内容

  • 425个视频文件
  • 425个标注文件
  • 一个torch文件,包含所有DINOv2使用的CLS-tokens(特征),按排序顺序连接
  • 一个numpy数组文件,包含所有使用的标签,按相同排序顺序连接

数据集用途

该数据集完全开放用于研究和教育目的。如用于竞赛或商业目的,需事先获得书面许可。所有使用、引用或报告此数据集实验结果的文档和论文必须包含相关文章的引用。

数据集下载

数据集相关内容位于此仓库内,包括视频和标注文件。

引用信息

@incollection{Kassab_MMSYS_ODS, author = {Jåsund Kassab, Evan and Maric Solberg, Håkon and Gautam, Sushant and Shafiee Sabet, Saeed and Torjusen, Thomas and Riegler, Michael and Halvorsen, Pål and Midoglu, Cise}, title = {{TACDEC: Dataset of Tackle Events in Soccer Game Videos}}, booktitle = {{MMSys24 : The 15th ACM Multimedia Systems Conference}}, year = {2024}, month = apr, date = {2024-04-15}, urldate = {2024-04-15}, isbn = {979-8-4007-0412-3/24/04}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, doi = {10.1145/3625468.3652166} }

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