GTA5

Grand Theft Auto 5

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 Image Source: Richter et al

Images

벤치마크

Synthetic-to-Real Translation on GTAV-to-Cityscapes Labels 결과 219개

Image-to-Image Translation on GTAV-to-Cityscapes Labels 결과 66개

Unsupervised Domain Adaptation on GTAV-to-Cityscapes Labels 결과 40개

Domain Adaptation on GTA5 to Cityscapes 결과 28개

Semantic Segmentation on GTAV-to-Cityscapes Labels 결과 24개

Domain Adaptation on GTA5+Synscapes to Cityscapes 결과 5개

Source-Free Domain Adaptation on GTA5 to Cityscapes 결과 2개