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The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
Mar 1, 2023 · The NYU-Depth V2 ... Downloads last month. 2,007. Use this dataset. Edit dataset card Papers with Code · Homepage: NYU Depth Dataset V2 homepage.
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The NYU-Depth V2 data set is comprised of video sequences from a variety of ... Download size: 31.92 GiB. Dataset size: 74.03 GiB. Auto-cached ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
NYU Depth V2. 464 different indoor scenes; 26 scene types; 407,024 unlabeled frames; 1449 densely labeled frames; 1000+ Classes; Inpainted and raw depth ...
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
NYU Depth V2. Indoor Segmentation and Support Inference from RGBD Images. arrow_drop_up 44. file_downloadDownload (4 GB) arrow_drop_down. bakery_dining.
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...