NYU Depth dataset

The NYU Depth dataset is a large-scale dataset of indoor and outdoor scenes, which is widely used for 3D depth estimation and scene understanding tasks.

Data and Resources

Cite this as

Zilun Wang, Wendong Mao, Peixiang Yang, Zhongfeng Wang, Jun Lin (2024). Dataset: NYU Depth dataset. https://doi.org/10.57702/2gnb3e5d

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Zilun Wang
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Wendong Mao
Peixiang Yang
Zhongfeng Wang
Jun Lin
Homepage https://www.cs.nyu.edu/~ylclab/depth-v2.html