Stanford Cars Dataset

The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. The data is divided into almost a 50-50 train/test split with 8,144 training images and 8,041 testing images. Categories are typically at the level of Make, Model, Year. The images are 360×240.

斯坦福汽车数据集包含196个类别，总计16,185张图片，均为车辆后部视角拍摄。数据集被划分为近乎相等的50-50的训练集/测试集，其中包含8,144张训练图片和8,041张测试图片。分类通常达到制造商、型号、年份的级别。图片分辨率为360×240。