Dataset Card for StanfordDogsImbalanced This is a FiftyOne dataset with 19060 samples. Installation If you haven't already, install FiftyOne: Usage Dataset Details Dataset Description An imbalanced version of the Stanford Dogs dataset designed for testing class imbalance mitigation techniques, including but not limited to synthetic data generation. This version of the dataset was constructed by randomly splitting the original dataset into train, val, and test sets with a 60/20/20 split. For 15 randomly chosen classes, we then removed all but 10 of the training examples. Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): en License: [More Information Needed] Dataset Sources Paper: [More Information Needed] Homepage: [More Information Needed] Uses Fine grained visual classification Class imbalance mitigation strategies Dataset Structure The following classes only have 10 samples in the train split: Australian terrier Saluki Cardigan standard schnauzer Eskimo dog American Staffordshire terrier Lakeland terrier Lhasa cocker spaniel Greater Swiss Mountain dog basenji toy terrier Chihuah…
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