  Fisheye cameras are commonly employed for obtaining a large field of view in
surveillance, augmented reality and in particular automotive applications. In
spite of their 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. With WoodScape, we would like
to encourage the community to adapt computer vision models for fisheye camera
instead of using naive rectification.
