Overview

This dataset provides a platform to benchmark transfer-learning algorithms, in particular attribute base classification and zero-shot learning. It can act as a drop-in replacement to the original Animals with Attributes (AwA) dataset, as it has the same class structure and almost the same characteristics. It consists of 37322 images of 50 animals classes with pre-extracted feature representations for each image. The 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.

Data Collection

The image data was collected from public sources, such as Flickr, in 2016. In the process we made sure to only include images that are licensed for free use and redistribution, please see the archive for the individual license files. If the dataset contains an image for which you hold the copyright and that was not licensed freely, please contact us at , so we can remove it from the collection.

Citation

If you find it useful, please cite:

@article{XLSA18,
 title={Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly},
 author={Xian, Yongqin and Lampert, H. Christoph and Schiele, Bernt and Akata, Zeynep},
 journal={TPAMI},
 year={2018},
}