WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

Senthil Yogamani, Martin Simon

Abstract:

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 preva-
lence, there are few public datasets for detailed evaluation
of computer vision algorithms on fisheye images. We re-
lease the first extensive fisheye automotive dataset, Wood-
Scape, 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 detec-
tion. 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 Wood-
Scape, we would like to encourage the community to adapt
computer vision models for fisheye camera instead of using
naı̈ve rectification.