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 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.
Abstract (translated)
鱼眼摄像机通常用于在监视、增强现实以及特别是汽车应用中获得大视场。尽管它很流行，但对于鱼眼图像的计算机视觉算法的详细评估，几乎没有公开的数据集。我们发布了第一个广泛的鱼眼汽车数据集，Woodscape，以1906年发明鱼眼相机的Robert Wood命名。Woodscape由四个环绕视图摄像头和九个任务组成，包括分割、深度估计、3D边界框检测和土壤检测。超过10000张图片提供实例级40个类的语义注释，超过100000张图片提供其他任务的注释。我们希望鼓励社区将电脑视觉模型应用于鱼眼相机，而不是单纯的矫正。
URL
https://arxiv.org/abs/1905.01489
