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NYUD-v2

The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface normal estimation, and edge detection.

Data and Resources

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Cite this as

Hanrong Ye, Dan Xu (2024). Dataset: NYUD-v2. https://doi.org/10.57702/audn1foa

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1906.03525
Citation
  • https://doi.org/10.48550/arXiv.2312.13514
  • https://doi.org/10.48550/arXiv.2209.02518
  • https://doi.org/10.48550/arXiv.2311.05770
Author Hanrong Ye
More Authors
Dan Xu
Homepage https://www.robots.ox.ac.uk/~vgg/data/nyu_depth_v2/