AwA (Animals with Attributes)

Introduced by Christoph H. Lampert et al. in Learning to detect unseen object classes by between-class attribute transfer
This dataset has been retracted and should not be used

Animals with Attributes (AwA) was a dataset for benchmarking transfer-learning algorithms, in particular attribute base classification. It consisted of 30475 images of 50 animals classes with six pre-extracted feature representations for each image. The animals classes are aligned with Osherson's classical class/attribute matrix, thereby providing 85 numeric attribute values for each class. Using the shared attributes, it is possible to transfer information between different classes. The Animals with Attributes dataset was suspended. Its images are not available anymore because of copyright restrictions. A drop-in replacement, Animals with Attributes 2, is available instead.

Source: Transductive Multi-view Zero-Shot Learning


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