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+Synset Background Effect Datasets (c) by Anne Sielemann, Valentin Barner, Stefan Wolf, Masoud Roschani, Jens Ziehn, Juergen Beyerer; 
+Fraunhofer IOSB and Karlsruhe Institute of Technology (KIT)
+
+Synset Background Effect Datasets are licensed under a
+Creative Commons Attribution 4.0 International License.
+
+You should have received a copy of the license along with this
+work. If not, see https://creativecommons.org/licenses/by/4.0/.
+
+To cite these datasets in your scientific work, please use the following bibliography entry:
+
+	Sielemann, A., Barner, V., Wolf, S., Roschani, M., Ziehn, J., and Beyerer, J. (2025). Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception. In 2025 IEEE International Automated Vehicle Validation Conference (IAVVC).
+
+BibTeX:
+
+	@inproceedings{measuring_effect_of_background_sielemann_2025,
+        title={{Measuring the Effect of Background on Classification and Feature Importance in 
+                Deep Learning for AV Perception}},
+        author={Sielemann, Anne and Barner, Valentin and Wolf, Stefan and Roschani, Masoud and
+                Ziehn, Jens and Beyerer, Juergen},
+        booktitle={2025 IEEE International Automated Vehicle Validation Conference (IAVVC)},
+        year={2025}
+    }
+
+
+In case of copy and redistribute or publishing an adapted version of our datasets, please provide the name(s) of our dataset(s), the creator names, a copyright notice, a link to the official website, a license notice with link to the license, and if changes were made, a disclaimer notice, and a short description of the applied changes. For example, as follows:
+
+	This work is based on the Synset Background Effect Datasets
+    by Anne Sielemann, Valentin Barner, Stefan Wolf, Jens Ziehn, Masoud Roschani, and Juergen Beyerer.
+    Link: https://synset.de/datasets/synset-signset-ger/background-effect/
+    Licence: CC BY 4.0
+    Disclaimer: The authors are neither affiliated nor responsible for the applied changes.
+    © 2025 Fraunhofer IOSB, All rights reserved