SynWoodScape (Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving)

WoodScape 包括四个环视摄像头和九个任务，包括分割、深度估计、3D 边界框检测和一种新颖的污染检测。为超过 10,000 张图像提供了实例级别的 40 多个类的语义注释。借助 WoodScape，我们希望鼓励社区为鱼眼相机调整计算机视觉模型，而不是使用幼稚的校正。

WoodScape includes four surround-view fisheye cameras and encompasses nine computer vision tasks, namely segmentation, depth estimation, 3D bounding box detection, and a novel contamination detection task. It provides semantic annotations covering more than 40 instance-level categories for over 10,000 images. With WoodScape, we aim to encourage the computer vision community to adapt computer vision models specifically for fisheye cameras, rather than relying on naive correction.

搜集汇总

背景与挑战

背景概述

SynWoodScape是一个用于自动驾驶的合成环视鱼眼相机数据集，包含四个环视摄像头和九个任务，如分割、深度估计等，并提供超过10,000张图像的实例级别语义注释，涵盖40多个类。该数据集旨在鼓励社区为鱼眼相机调整计算机视觉模型，而非使用简单的校正方法。