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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

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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