First readme version

README.md

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+# UrbanSyn Dataset
+
+UrbanSyn is an open synthetic dataset featuring photorealistic driving scenes. It contains ground-truth annotations for semantic segmentation, scene depth, panoptic instance segmentation, and 2-D bounding boxes.
+
+## Overview
+
+UrbanSyn is a diverse, compact, and photorealistic dataset that provides more than 7.5k synthetic annotated images. It was born to address the synth-to-real domain gap, contributing to unprecedented synthetic-only baselines used by domain adaptation (DA) methods.
+
+**- Reduce the synth-to-real domain gap**
+
+  UrbanSyn dataset helps to reduce the domain gap by contributing to unprecedented synthetic-only baselines used by domain adaptation (DA) methods.
+
+**- Ground-truth annotations**
+
+  UrbanSyn comes with photorealistic color images, per-pixel semantic segmentation, depth, instance panoptic segmentation, and 2-D bounding boxes.
+
+**- Open for research and commercial purposes**
+
+  UrbanSyn may be used for research and commercial purposes. It is released publicly under the Creative Commons Attribution-Commercial-ShareAlike 4.0 license.
+
+**- High-degree of photorealism**
+
+  UrbanSyn features highly realistic and curated driving scenarios leveraging procedurally-generated content and high-quality curated assets. To achieve UrbanSyn photorealism we leverage industry-standard unbiased path-tracing and AI-based denoising techniques.
+
+## White Paper
+
+**[[Arxiv]](https://arxiv.org/abs/2312.12176)**
+
+## Terms of Use
+
+The UrbanSyn Dataset is provided by the Computer Vision Center (UAB) and CITIC (University of A Coruña).
+
+UrbanSyn may be used for research and commercial purposes, and it is subject to the Creative Commons Attribution-Commercial-ShareAlike 4.0. A summary of the CC-BY-SA 4.0 licensing terms can be found **[[here]](https://creativecommons.org/licenses/by-sa/4.0/deed.en)**.
+
+Due to constraints from our asset providers for UrbanSyn, we prohibit the use of generative AI technologies for reverse engineering any assets or creating content for stock media platforms based on the UrbanSyn dataset.
+
+While we strive to generate precise data, all information is presented 'as is' without any express or implied warranties. We explicitly disclaim all representations and warranties regarding the validity, scope, accuracy, completeness, safety, or utility of the licensed content, including any implied warranties of merchantability, fitness for a particular purpose, or otherwise.
+
+## Acknowledgements
+
+Funded by Grant agreement PID2020-115734RB-C21 "SSL-ADA" and Grant agreement PID2020-115734RB-C22 "PGAS-ADA"
+<img src="MICINN_Gob_AEI_1.jpg" width="300" />
+
+