TACDEC Dataset

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.

Accessing the Dataset

The dataset is available on Zenodo: https://zenodo.org/records/10611979.

Additional Resources

Additional resources related to TACDEC can be found under: https://github.com/simula/TACDEC/.

Terms of Use

The dataset is fully open for research and educational purposes. Use of the dataset for competitions or commercial purposes requires prior written permission. References to the related article must be included in all documents and papers that use, refer to, or report experimental results from this dataset.

Citation


@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 = {{MMSys'24 : 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}
}

Contact

For any questions regarding the dataset, or to discuss potential collaboration and joint research opportunities, please contact the following people:

Evan Jåsund Kassab: evanjk@uio.no
Cise Midoglu: cise@simula.no
Pål Halvorsen: paalh@simula.no