Waterbirds dataset (waterbird_complete95_forest2water2.tar.gz)
Shiori Sagawa and Pang Wei Koh and Tatsunori B. Hashimoto and Percy Liang

@article{,
title= {Waterbirds dataset (waterbird_complete95_forest2water2.tar.gz)},
year= {2020},
keywords= {},
author= {Shiori Sagawa and Pang Wei Koh and Tatsunori B. Hashimoto and Percy Liang},
abstract= {The Waterbirds dataset is constructed by cropping out birds from photos in the Caltech-UCSD Birds-200-2011 (CUB) dataset (Wah et al., 2011) and transferring them onto backgrounds from the Places dataset (Zhou et al., 2017).

**Reference:** Sagawa et al., Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization. ICLR 2020. https://arxiv.org/abs/1911.08731},
terms= {},
license= {},
superseded= {},
url= {https://github.com/kohpangwei/group_DRO}
}