The GTA – Grand Traffic Auto dataset is a vast collection of about 10,000 synthetic images of urban traffic scenes collected using the highly photo-realistic graphical engine of the GTA V – Grand Theft Auto V video game. About half of them concern urban city areas, while the remaining involve sub-urban areas and highways. To generate this dataset, we designed a framework that automatically and precisely annotates the vehicles present in the scene with per-pixel annotations. To the best of our knowledge, this is the first instance segmentation synthetic dataset of city traffic scenarios.
For further info: luca.ciampi@isti.cnr.it