Update README.md
Browse files
README.md
CHANGED
@@ -5,6 +5,19 @@ license: cc-by-4.0
|
|
5 |
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.
|
6 |
|
7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
**Citation:**
|
9 |
<pre><code>
|
10 |
@incollection{Kassab_MMSYS_ODS,
|
@@ -21,3 +34,11 @@ TACDEC is a dataset of tackle events in soccer game videos. Recognizing the gap
|
|
21 |
doi = {10.1145/3625468.3652166}
|
22 |
}
|
23 |
</code></pre>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
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.
|
6 |
|
7 |
|
8 |
+
**Zenodo**
|
9 |
+
|
10 |
+
The dataset is also available on Zenodo: https://zenodo.org/records/10611979.
|
11 |
+
|
12 |
+
**Additional Resources**
|
13 |
+
|
14 |
+
Additional resources related to TACDEC can be found under: https://github.com/simula/TACDEC/.
|
15 |
+
|
16 |
+
## Terms of Use
|
17 |
+
|
18 |
+
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.
|
19 |
+
|
20 |
+
|
21 |
**Citation:**
|
22 |
<pre><code>
|
23 |
@incollection{Kassab_MMSYS_ODS,
|
|
|
34 |
doi = {10.1145/3625468.3652166}
|
35 |
}
|
36 |
</code></pre>
|
37 |
+
|
38 |
+
**Contact**
|
39 |
+
|
40 |
+
For any questions regarding the dataset, or to discuss potential collaboration and joint research opportunities, please contact the following people:
|
41 |
+
|
42 |
+
- Evan Jåsund Kassab: evanjk@uio.no
|
43 |
+
- Cise Midoglu: cise@simula.no
|
44 |
+
- Pål Halvorsen: paalh@simula.no
|