  In this paper we study automatic recognition of cars of four types: Bus,
Truck, Van and Small car. For this problem we consider two data driven
frameworks: a deep neural network and a support vector machine using SIFT
features. The accuracy of the methods is validated with a database of over 6500
images, and the resulting prediction accuracy is over 97 %. This clearly
exceeds the accuracies of earlier studies that use manually engineered feature
extraction pipelines.
