Datasets › 3D AffordanceNet

3D AffordanceNet

Introduced by Shengheng Deng et al. in 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding30 Mar 2021 archive 2025-07-28

3D AffordanceNet is a dataset of 23k shapes for visual affordance. It consists of 56,307 well-defined affordance information annotations for 22,949 shapes covering 18 affordance classes and 23 semantic object categories.

Benchmarks archive 2025-07-28

All 1 leaderboard 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)PaperCode
Affordance Detection 3D AffordanceNet DGCNN AIOU 0.178 3D AffordanceNet: A Benchmark for Visual Object... Gorilla-Lab-SCUT/AffordanceNet 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper 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 15. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding 1 1 30 Mar 2021 ran 6 of 12 samples (6 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • 3D AffordanceNet

1 variant name, as the archive lists them.

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