Add CITATION.cff file (#8)

* Add citation cff file * Test new citation file * Citation file: add preferred-citation * Fix Citation file * Readme: Rework publication chapter
bit-bots · Nov 16, 2022 · f5a86d4 · f5a86d4
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diff --git a/CITATION.cff b/CITATION.cff
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+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: "TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021"
+message: "If you use this dataset or its related software, please cite it using the metadata from this file."
+type: dataset
+license: MIT
+date-released: "2021-06-27"
+authors:
+  - given-names: Marc
+    family-names: Bestmann
+    email: [email protected]
+    affiliation: Universität Hamburg
+    orcid: 'https://orcid.org/0000-0002-7857-793X'
+  - given-names: Engelke
+    family-names: Timon
+    affiliation: Universität Hamburg
+    email: [email protected]
+  - given-names: Fiedler
+    family-names: Niklas
+    email: [email protected]
+    affiliation: Universität Hamburg
+    orcid: 'https://orcid.org/0000-0002-0856-5087'
+  - given-names: Güldenstein
+    family-names: Jasper
+    email: [email protected]
+    affiliation: Universität Hamburg
+    orcid: 'https://orcid.org/0000-0002-5416-5850'
+  - given-names: Gutsche
+    family-names: Jan
+    email: [email protected]
+    affiliation: Universität Hamburg
+    orcid: 'https://orcid.org/0000-0002-0868-8589'
+  - given-names: Hagge
+    family-names: Jonas
+    email: [email protected]
+    affiliation: Universität Hamburg
+  - given-names: Vahl
+    family-names: Florian
+    email: [email protected]
+    affiliation: Universität Hamburg
+identifiers:
+  - type: doi
+    value: 10.1007/978-3-030-98682-7_6
+    description: link.springer.com
+repository-code: 'https://github.com/bit-bots/TORSO_21_dataset'
+url: 'https://github.com/bit-bots/TORSO_21_dataset'
+abstract: >-
+  We present a dataset specifically designed to be
+  used as a benchmark to compare vision systems in
+  the RoboCup Humanoid Soccer domain. The dataset is
+  composed of a collection of images taken in various
+  real-world locations as well as a collection of
+  simulated images. It enables comparing vision
+  approaches with a meaningful and expressive metric.
+  The contributions of this paper consist of
+  providing a comprehensive and annotated dataset, an
+  overview of the recent approaches to vision in
+  RoboCup, methods to generate vision training data
+  in a simulated environment, and an approach to
+  increase the variety of a dataset by automatically
+  selecting a diverse set of images from a larger
+  pool. Additionally, we provide a baseline of YOLOv4
+  and YOLOv4-tiny on this dataset.
+keywords:
+  - Computer vision
+  - Vision dataset
+  - Deep learning
+preferred-citation:
+  title: "TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021"
+  type: conference-paper
+  authors:
+    - given-names: Marc
+      family-names: Bestmann
+      email: [email protected]
+      affiliation: Universität Hamburg
+      orcid: 'https://orcid.org/0000-0002-7857-793X'
+    - given-names: Engelke
+      family-names: Timon
+      affiliation: Universität Hamburg
+      email: [email protected]
+    - given-names: Fiedler
+      family-names: Niklas
+      email: [email protected]
+      affiliation: Universität Hamburg
+      orcid: 'https://orcid.org/0000-0002-0856-5087'
+    - given-names: Güldenstein
+      family-names: Jasper
+      email: [email protected]
+      affiliation: Universität Hamburg
+      orcid: 'https://orcid.org/0000-0002-5416-5850'
+    - given-names: Gutsche
+      family-names: Jan
+      email: [email protected]
+      affiliation: Universität Hamburg
+      orcid: 'https://orcid.org/0000-0002-0868-8589'
+    - given-names: Hagge
+      family-names: Jonas
+      email: [email protected]
+      affiliation: Universität Hamburg
+    - given-names: Vahl
+      family-names: Florian
+      email: [email protected]
+      affiliation: Universität Hamburg
+doi: "10.1007/978-3-030-98682-7_6"
diff --git a/README.md b/README.md
@@ -348,23 +348,33 @@ Visualization of the position density of the respective annotations in the image
 
 <img src="example_images/heatmaps.png" alt="heatmaps"/>
 
-## Citation
+## Publication
 
-_When you use our dataset, please cite it as follows:_
+_When you use our dataset or related software, please cite it as follows:_
 
-This dataset is published together with our publication during the RoboCup Symposium 2021.
+### TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021
 
-[TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021](https://www.researchgate.net/publication/352384714_TORSO-21_Dataset_Typical_Objects_in_RoboCup_Soccer_2021)
+**Abstract**<br>
+We present a dataset specifically designed to be used as a benchmark to compare vision systems in the RoboCup Humanoid Soccer domain.
+The dataset is composed of a collection of images taken in various real-world locations as well as a collection of simulated images.
+It enables comparing vision approaches with a meaningful and expressive metric.
+The contributions of this paper consist of providing a comprehensive and annotated dataset, an overview of the recent approaches to vision in RoboCup, methods to generate vision training data in a simulated environment, and an approach to increase the variety of a dataset by automatically selecting a diverse set of images from a larger pool.
+Additionally , we provide a baseline of YOLOv4 and YOLOv4-tiny on this dataset.
 
-```
+[[ResearchGate]](https://www.researchgate.net/publication/352384714_TORSO-21_Dataset_Typical_Objects_in_RoboCup_Soccer_2021)
+[[Download]](https://www.researchgate.net/profile/Niklas-Fiedler/publication/352384714_TORSO-21_Dataset_Typical_Objects_in_RoboCup_Soccer_2021/links/60c7cd23299bf108abd953d5/TORSO-21-Dataset-Typical-Objects-in-RoboCup-Soccer-2021.pdf)
+
+```bib
 @inproceedings{TORSO2021,
 author = {Bestmann, Marc and Engelke, Timon and Fiedler, Niklas and Güldenstein, Jasper and Gutsche, Jan and Hagge, Jonas and Vahl, Florian},
 year = {2021},
-title = {TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021},
+title = {{TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021}},
 booktitle={RoboCup 2021: Robot World Cup XXIV}
 }
 ```
 
+_NOTE: You can get various citation types in the right sidebar on GitHub "Cite this repository"..._
+
 ## Changelog
 
 ### July 12, 2021