NYUv2 dataset

The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes.

Data and Resources

Cite this as

Xinni Jiang, Zengsheng Kuang, Chunle Guo, Ruixun Zhang, Lei Cai, Xiao Fan, Chongyi Li (2024). Dataset: NYUv2 dataset. https://doi.org/10.57702/2lkei111

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.1905.07005
Citation
  • https://doi.org/10.48550/arXiv.2401.08123
  • https://doi.org/10.48550/arXiv.1803.02784
  • https://doi.org/10.1109/LRA.2024.3416788
  • https://doi.org/10.48550/arXiv.2203.09168
Author Xinni Jiang
More Authors
Zengsheng Kuang
Chunle Guo
Ruixun Zhang
Lei Cai
Xiao Fan
Chongyi Li
Homepage https://www.cs.nyu.edu/~silberman/datasets.html