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AwA

Animals with Attributes

ImagesUnknownIntroduced 2009-01-01

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 Image Source: https://cvml.ist.ac.at/AwA/

Related Benchmarks

AWA - 0-Shot/Few-Shot Image Classification/Accuracy AWA - 0-Shot/Image Classification/Accuracy AWA-LT/Few-Shot Image Classification/Long-Tailed Accuracy AWA-LT/Few-Shot Image Classification/Per-Class Accuracy AWA-LT/Generalized Few-Shot Classification/Long-Tailed Accuracy AWA-LT/Generalized Few-Shot Classification/Per-Class Accuracy AWA-LT/Generalized Few-Shot Learning/Long-Tailed Accuracy AWA-LT/Generalized Few-Shot Learning/Per-Class Accuracy AWA-LT/Image Classification/Long-Tailed Accuracy AWA-LT/Image Classification/Per-Class Accuracy AWA-LT/Long-tail Learning/Long-Tailed Accuracy AWA-LT/Long-tail Learning/Per-Class Accuracy AWA1 - 0-Shot/Few-Shot Image Classification/Accuracy AWA1 - 0-Shot/Image Classification/Accuracy AWA2 - 0-Shot/Few-Shot Image Classification/Accuracy AWA2 - 0-Shot/Image Classification/Accuracy AWARE/Aspect Category Detection/F1-score AWARE/Aspect Category Polarity/Accuracy (%)AWARE/Term Extraction/F1-Score AwA2/Concept-based Classification/Concept Accuracy (%)AwA2/Concept-based Classification/Task Accuracy (%)AwA2/Generalized Few-Shot Learning/Per-Class Accuracy (1-shot)AwA2/Generalized Few-Shot Learning/Per-Class Accuracy (10-shots)AwA2/Generalized Few-Shot Learning/Per-Class Accuracy (2-shots)AwA2/Generalized Few-Shot Learning/Per-Class Accuracy (20-shots)AwA2/Generalized Few-Shot Learning/Per-Class Accuracy (5-shots)AwA2/Image Classification/Concept Accuracy (%)AwA2/Image Classification/Task Accuracy (%)AwA2/Zero-Shot Learning/Accuracy Seen AwA2/Zero-Shot Learning/Accuracy Unseen AwA2/Zero-Shot Learning/H AwA2/Zero-Shot Learning/Harmonic mean AwA2/Zero-Shot Learning/average top-1 classification accuracy

Statistics

Papers: 264
Benchmarks: 0

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Tasks

Concept-based Classification Few-Shot Image Classification Generalized Few-Shot Learning Generalized Zero-Shot Learning Long-tail learning with class descriptors Zero-Shot Learning