Synset Boulevard

A Synthetic Image Dataset for Vehicle Make and Model Recognition (VMMR) (Sielemann, Wolf et al., 2024)

The Synset Boulevard dataset is designed for the task of vehicle make and model recognition (VMMR), and is—to the best of our knowledge—the first entirely synthetically generated large-scale VMMR image dataset.

Through the simulation of image data rather than the manual annotation of real data, it is intended to mitigate common challenges in state-of-the-art VMMR datasets, namely bias, human error, privacy, and the challenge of providing systematic updates. On the other hand, the provision and use of synthetic data introduce individual challenges, such as potential domain gaps and a less pronounced intra-class variance.

The dataset was generated using path tracing and physically-based, data-driven models, and contains 32,400 independent images (each with different imaging simulations and with/without masked license plates, leading to a total of 259,200 images) from 162 different vehicle models of 43 makes depicted in front view. It is split into 8 sub-datasets to investigate the influence of optical/imaging effects on the classification ability.

Details

Field	Task	License	Samples	Key Annotations	Institutions
Computer Vision	VMMR (vehicle make and model recognition)	Creative Commons Attribution 4.0	32,400 (independent images)	Per frame: Class (vehicle make, model), car paint (abstract color, RGB values, metallness), environment (dry/wet road, daytime, contrast), semantic segmentation. Per class: Official make and model names, model years, number of doors.	Fraunhofer IOSB, KIT-IES

Paper and reference

This work is licensed under Creative Commons Attribution 4.0.

To cite this dataset in your scientific work, please use the following bibliography entry:

Sielemann, A., Wolf, S., Roschani, M., Ziehn, J. and Beyerer, J. (2024). Synset Boulevard: A Synthetic Image Dataset for VMMR. In 2024 IEEE International Conference on Robotics and Automation (ICRA).

@inproceedings{synset_blvd_sielemann_2024,
  title={{Synset Boulevard: A Synthetic Image Dataset for VMMR}},
  author={Sielemann, Anne and Wolf, Stefan and Roschani, Masoud and Ziehn, Jens and Beyerer, Juergen},
  booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2024}
}

In case of copy and redistribute or publishing an adapted version of our dataset, please provide the name of our dataset, the creator names, a copyright notice, a link to this 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 Boulevard Dataset
by Anne Sielemann, Stefan Wolf, Jens Ziehn, Masoud Roschani, and Juergen Beyerer,
© 2024 Fraunhofer IOSB, All rights reserved.
Link: https://synset.de/datasets/synset-blvd/
Licence: CC BY 4.0
Disclaimer: The original authors are neither affiliated nor responsible for any applied changes.

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External platforms
Dataset Card on Huggingface.co    Mobilithek entry (German)

Credits

This work was supported by the Fraunhofer Internal Programs under Grant No. PREPARE 40-02702 within the ML4Safety project, and by the Ministry of Economic Affairs, Labour and Housing of the state of Baden-Wuerttemberg, Germany, as part of the FeinSyn research project.