VAW (Visual Attributes in the Wild)
Introduced by Pham et al. in Learning to Predict Visual Attributes in the Wild
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
Papers
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