AwA2 (Animals with Attributes 2)

Introduced by Xian et al. in Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

Animals with Attributes 2 (AwA2) is a dataset for benchmarking transfer-learning algorithms, such as attribute base classification and zero-shot learning. AwA2 is a drop-in replacement of original Animals with Attributes (AwA) dataset, with more images released for each category. Specifically, AwA2 consists of in total 37322 images distributed in 50 animal categories. The AwA2 also provides a category-attribute matrix, which contains an 85-dim attribute vector (e.g., color, stripe, furry, size, and habitat) for each category.

Source: Learning from Noisy Web Data with Category-level Supervision


Paper Code Results Date Stars

Dataset Loaders


Similar Datasets


  • Unknown