Datasets › AwA2
AwA2 (Animals with Attributes 2)
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 Image Source: https://arxiv.org/pdf/1604.00326.pdf
Benchmarks archive 2025-07-28
All 5 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Generalized Few-Shot Learning | AwA2 | MVCN Per-Class Accuracy (1-shot) 69.9 | Better Generalized Few-Shot Learning Even Without Base Data | bigdata-inha/zero-base-gfsl | 6 | Compare |
| Generalized Zero-Shot Learning | AwA2 | ZeroDiff Harmonic mean 79.5 | Exploring Data Efficiency in Zero-Shot Learning with... | — | 4 | Compare |
| Zero-Shot Learning | AwA2 | ZeroDiff average top-1 classification accuracy 86.4 | Exploring Data Efficiency in Zero-Shot Learning with... | — | 4 | Compare |
| Concept-based Classification | AwA2 | EQ-CBM (ResNet-34) Task Accuracy (%) 95.965 | EQ-CBM: A Probabilistic Concept Bottleneck with... | — | 2 | Compare |
| Few-Shot Image Classification | AWA2 - 0-Shot | TAFE-Net Accuracy 69.3 | TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning | ucbdrive/tafe-net | 1 | Compare |
Papers archive 2025-07-28
13 shown of 13 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 231. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- AWA2 - 0-Shot
- AwA2
2 variant names, as the archive lists them.
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