Nathan Silberman
4Catalyzer
Lead Deep Learning Scientist
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Datasets
NYU Depth V2
464 different indoor scenes
26 scene types
407,024 unlabeled frames
1449 densely labeled frames
1000+ Classes
Inpainted and raw depth available
Both object and instance labels
NYU Depth V1
64 different indoor scenes
7 scene types
108,617 unlabeled frames
2347 densely labeled frames
1000+ Classes
Inpainted and raw depth available