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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

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Cite this as

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

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It is available for use in manuscripts, and will be published when the Dataset is made public.

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