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Rel3D

Rel3D is a large-scale dataset of human-annotated spatial relations in 3D. It consists of spatial relations situated in synthetic 3D scenes, making it possible to extract rich and accurate geometric and semantic information.

Data and Resources

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Cite this as

Yutaro Yamada, Yingtian Tang, Ilker Yildirim (2024). Dataset: Rel3D. https://doi.org/10.57702/ecaj2yzm

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2012.01634
Citation
  • https://doi.org/10.48550/arXiv.2403.00729
Author Yutaro Yamada
More Authors
Yingtian Tang
Ilker Yildirim
Homepage https://github.com/nyu-dmlab/rel3d