Side Profile Vehicle Binary Images

This is a dataset of vehicle's binary images obtained with an optical barrier. The main goal off this dataset is to train and test a vehicle classification method. Categories are defined according to the number of axles and the presence of double wheel or not. (See the vehicle_categories.png) This dataset is composed by 3 folders. Train: Images used to train a CNN. (Over 1000 images/cat) Total of 11232 images. Experiment1: Images used to validate.5389 images. Experiment2: Field test. Four days off images. 196018 images. Train and Experiment1 are selected images from the same lane, in different periods over 3 months. Experiment2 has images from several different lanes, and 3 different toll stations. We do not delete any image in this set.