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

Cite this as

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

DOI retrieved: December 16, 2024

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/