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WoodScape
2D Box
3D Box
2D Polygon
Autonomous Driving
|...
License: Unknown

Overview

Fisheye cameras are commonly employed for obtaining a large field of view in surveillance,
augmented reality and in particular automotive applications. In spite of its prevalence, there
are few public datasets for detailed evaluation of computer vision algorithms on fisheye images.

We release the first extensive fisheye automotive dataset, WoodScape, named after Robert
Wood who invented the fisheye camera in 1906. WoodScape comprises of four surround view cameras
and nine tasks including segmentation, depth estimation, 3D bounding box detection and soiling
detection. Semantic annotation of 40 classes at the instance level is provided for over 10,000
images and annotation for other tasks are provided for over 100,000 images. We would like to
encourage the community to adapt computer vision models for fisheye camera instead of naive
rectification.

Citation

Please use the following citation when referencing the dataset:

@article{yogamani2019woodscape,
  title={WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving},
  author={Yogamani, Senthil and Hughes, Ciar{\'a}n and Horgan, Jonathan and Sistu, Ganesh and
Varley, Padraig and O'Dea, Derek and Uric{\'a}r, Michal and Milz, Stefan and Simon, Martin
and Amende, Karl and others},
  journal={arXiv preprint arXiv:1905.01489},
  year={2019}
}
Data Summary
Type
Point Cloud, Image,
Amount
--
Size
--
Provided by
Valeo.ai
The Valeo is a world-leading global automotive supplier operating in 33 countries and partnering with automakers worldwide.
| Amount -- | Size --
WoodScape
2D Box 3D Box 2D Polygon
Autonomous Driving
License: Unknown

Overview

Fisheye cameras are commonly employed for obtaining a large field of view in surveillance,
augmented reality and in particular automotive applications. In spite of its prevalence, there
are few public datasets for detailed evaluation of computer vision algorithms on fisheye images.

We release the first extensive fisheye automotive dataset, WoodScape, named after Robert
Wood who invented the fisheye camera in 1906. WoodScape comprises of four surround view cameras
and nine tasks including segmentation, depth estimation, 3D bounding box detection and soiling
detection. Semantic annotation of 40 classes at the instance level is provided for over 10,000
images and annotation for other tasks are provided for over 100,000 images. We would like to
encourage the community to adapt computer vision models for fisheye camera instead of naive
rectification.

Citation

Please use the following citation when referencing the dataset:

@article{yogamani2019woodscape,
  title={WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving},
  author={Yogamani, Senthil and Hughes, Ciar{\'a}n and Horgan, Jonathan and Sistu, Ganesh and
Varley, Padraig and O'Dea, Derek and Uric{\'a}r, Michal and Milz, Stefan and Simon, Martin
and Amende, Karl and others},
  journal={arXiv preprint arXiv:1905.01489},
  year={2019}
}
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