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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

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Cite this as

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

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Additional Info

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