Overview

CloningDCB is a dataset of synthetic driving sequences generated using the CARLA simulator. The driving tasks are performed by 40 individuals on both dynamic and static driving platforms. Driving is not random but based on orchestrated scenarios.

Each sequence includes RGB images accompanied by standard ground truth data (depth, optical flow, semantic and instance segmentation), ego-vehicle information, and, most notably, eye-tracking recordings.

CloningDCB may be used for research and commercial purposes. It is released publicly under the Creative Commons Attribution-Commercial-ShareAlike 4.0 license. For detailed information, please check our terms of use.

CloningDCB features more than 15 hours of curated driving scenarios and free driving performed by human drivers in a realistic cockpit with CARLA simulator.

5 weather variations for every driving scenario are also provided.

Ground-Truth

CloningDCB brings per-pixel ground-truth semantic segmentation, scene depth, instance panoptic segmentation, optical flow and real eye tracking. Check some of our examples:

Semantic Segmentation
Semantic Segmentation
Depth
Optical Flow
Panoptic Instance Segmentation

Download

Data organization

Terms of Use

The CloningDCB Dataset is provided by the Computer Vision Center (UAB).

CloningDCB may be used for academic and industrial research, 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.

For comercial purpoises please, contact contact@cloningdcb.org

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.

Privacy Policy

CloningDCB.org uses Google Analytics to collect data. We need this data to understand how you use our website so we can improve its design and functionality.

With your consent, Google Analytics will process and collect your personal data (cookies and IP address) to give us valuable information. Google Analytics will transfer your data to the United States and store it for 2 months. To learn more about Google's data transfer policies, click here.

Standard contractual clauses are legal clauses written by the European Commission. They are part of a contract between Google Ireland Ltd. and Google LLC, and Google LLC must follow them. Standard contractual clauses tell Google LLC what it can and cannot do with your data

You have certain rights over your data: for example, you can require us to delete them or to provide you with a copy. We take responsibility for the processing of your data. We are available to answer any question and handle any request from you. Please use contact@cloningdcb.org if you we want to get in touch with us.

Team

Principal Investigators: Antonio M. López, Aura Fernández
Rest of the team: Abad, Rubén; Borràs, Agnes; Cano, Pau; Contreras, Ainoa; Gil, Débora; Levy, Alexandre F.; Porres, Diego; Sánchez, Carles; Sánchez, Gemma; Serrat, Joan; Villalonga, Gabriel; Xiao, Yi;

Data organization

Contact

If you have any questions about the dataset, please feel free to contact us using this email: contact@cloningdcb.org

Acknowledgements

  • Funded by:

    • Project TED2021-132802BI00 funded by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR

  • Personal acknowledgments:

    • Antonio M. López acknowledges the financial support to his general research activities given by ICREA under the ICREA Academia Program. CVC's authors acknowledge the support of the Generalitat de Catalunya CERCA Program and its ACCIO agency to CVC’s general activities.

  • Developed by: