For research in autonomous cars and robotic applications, a street view video dataset with dense semantic labels will be very useful. Semantic labeling is vital for training models for object recognition, semantic segmentation or scene understanding. We developed a large-scale street-view suburban video dataset comprising over 400k images, and a 3D-to-2D label transfer method to obtain 2D ground truth labels.