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Caltech-UCSD Birds
Caltech-UCSD Birds (CUB 200-2007) and extended version CUB 200-2011 image collections tagged with keypoints, bounding boxes, coarse segmentation, and attribute labels. -
Waterbirds
Dataset bias is a significant problem in training fair classifiers. When attributes unrelated to classification exhibit strong biases towards certain classes, classifiers... -
Caltech-UCSD Birds 200
The Caltech-256 object category dataset is used for the feature extraction step, and the Omniglot dataset is used for the evaluation.