This dataset try to expedite the deep learning researcher's task of a model training to extract vehicles from aerial images in an urban environment. Vehicles included in the dataset are motorcycles and cars of any type, number of wheels and color. The specific process of acquisition, enhancing, fusion and augmentation is presented. Inclusion of height of cars using a Digital Surface Model (DSM) is described and comparison of the application of a U-net segmentation model over non height and height dataset is shown.