Stanford Dogs

Fine-Grained Visual Classification (FGVC) is an important computer vision prob-lem that involves small diversity within the different classes, and often requires expert annotators to collect data.

Data and Resources

Cite this as

Renyi Qu, Mark Yatskar (2024). Dataset: Stanford Dogs. https://doi.org/10.57702/73frbvup

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.1703.06339
Citation
  • https://doi.org/10.48550/arXiv.2407.02123
  • https://doi.org/10.48550/arXiv.2109.00033
  • https://doi.org/10.1109/WACV48630.2021.00335
  • https://doi.org/10.48550/arXiv.1901.09891
  • https://doi.org/10.48550/arXiv.1809.05934
  • https://doi.org/10.48550/arXiv.2205.10529
  • https://doi.org/10.48550/arXiv.2009.03558
Author Renyi Qu
More Authors
Mark Yatskar
Homepage https://ai.stanford.edu/~jkrause/cars/car_dataset.html