Datasets › VAW

VAW (Visual Attributes in the Wild)

Introduced by Khoi Pham et al. in Learning to Predict Visual Attributes in the Wild17 Jun 2021 archive 2025-07-28

VAW is a large scale visual attributes dataset with explicitly labelled positive and negative attributes.

Details:

  • 620 Unique Attributes including color, shape, texture, posture and many others
  • 2,260 Unique Objects observed in the wild
  • 72,274 Images from the Visual Genome Dataset
  • 4 different evaluation metrics for measuring multi-faceted performance metrics

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 26 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

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

  • VAW

1 variant name, as the archive lists them.

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