camvid

The Cambridge-driving Labeled Video Database (CamVid) is the first collection of videos with object class semantic labels, complete with metadata. The database provides ground truth labels that associate each pixel with one of 32 semantic classes.The database addresses the need for experimental data to quantitatively evaluate emerging algorithms. While most videos are filmed with fixed-position CCTV-style cameras, our data was captured from the perspective of a driving automobile. The driving scenario increases the number and heterogeneity of the observed objectclasses.剑桥驾驶标注视频数据库（Cambridge-driving Labeled Video Database，简称CamVid）是首个带有目标类别语义标注且附带元数据的视频数据集。该数据库提供了真值标注，将每个像素对应至32个语义类别之一。本数据库满足了通过实验数据对新兴算法进行量化评估的需求。尽管多数视频采用固定机位闭路电视（CCTV）式摄像机拍摄，但本数据集采集自驾驶汽车的第一视角。驾驶场景提升了所观测目标类别的数量与异质性。