Camvid数据集用于语义分割的12类
CamVd数据集用于语义分割12类，标签已经处理好。
CamVid 数据集是由剑桥大学公开发布的城市道路场景的数据集。全称是：The Cambridge-driving Labeled Video Database，它是第一个具有目标类别语义标签的视频集合。
数据集包括 700 多张精准标注的图片用于强监督学习，可分为训练集、验证集、测试集。同时， 在 CamVid 数据集中通常使用 11 种常用的类别来进行分割精度的评估，分别为：道路 （Road）、交通标志（Symbol）、汽车（Car）、天空（Sky）、行人道（Sidewalk）、电线杆 （Pole）、围墙（Fence）、行人（Pedestrian）、建筑物（Building）、自行车（Bicyclist）、 树木（Tree）。
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