Scenenet RGB-D: 5M photorealistic images of synthetic indoor trajectories with ground truth

Scenenet RGB-D: 5M photorealistic images of synthetic indoor trajectories with ground truth

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John McCormac, Ankur Handa, Stefan Leutenegger, Andrew J Davison (2024). Dataset: Scenenet RGB-D: 5M photorealistic images of synthetic indoor trajectories with ground truth. https://doi.org/10.57702/cge0zu74

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2309.17450
Author John McCormac
More Authors
Ankur Handa
Stefan Leutenegger
Andrew J Davison
Homepage https://github.com/nyu-dmlab/scenenet-rgd