Datasets › PAD

PAD (Purpose-driven Affordance Dataset)

Introduced by Hongchen Luo et al. in One-Shot Affordance Detection28 Jun 2021 archive 2025-07-28

PAD (Purpose-driven Affordance Dataset) is a dataset for affordance detection, which refers to identifying the potential action possibilities of objects in an image, which is an important ability for robot perception and manipulation. The dataset consists of 4K images from 31 affordance and 72 object categories.

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 8 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

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • PAD

1 variant name, as the archive lists them.

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