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VisDA-2017

VisDA-2017 is a simulation-to-real dataset with two extremely distinct domains: Synthetic renderings of 3D models and Real collected from photo-realistic or real-image datasets.

Data and Resources

Cite this as

Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko (2024). Dataset: VisDA-2017. https://doi.org/10.57702/t2lmgfnt

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1904.05801
Citation
  • https://doi.org/10.48550/arXiv.2308.13893
  • https://doi.org/10.48550/arXiv.2007.03141
Author Xingchao Peng
More Authors
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
Homepage https://ai.stanford.edu/~jgao/VisDA-2017/