Datasets > Modality > Images > GTA5 (Grand Theft Auto 5)

GTA5 (Grand Theft Auto 5)

Introduced by Richter et al. in Playing for Data: Ground Truth from Computer Games

The GTA5 dataset contains 24966 synthetic images with pixel level semantic annotation. The images have been rendered using the open-world video game Grand Theft Auto 5 and are all from the car perspective in the streets of American-style virtual cities. There are 19 semantic classes which are compatible with the ones of Cityscapes dataset.

Source: Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation