Dataset Groups Activity Stream NYU-Depth V2 The NYU-Depth V2 dataset contains pairs of RGB and depth images collected from Microsoft Kinect in 464 indoor scenes. BibTex: @dataset{Seungyeop_Lee_and_Knut_Peterson_and_Solmaz_Arezoomandan_and_Bill_Cai_and_Peihan_Li_and_Lifeng_Zhou_and_David_Han_2024, abstract = {The NYU-Depth V2 dataset contains pairs of RGB and depth images collected from Microsoft Kinect in 464 indoor scenes.}, author = {Seungyeop Lee and Knut Peterson and Solmaz Arezoomandan and Bill Cai and Peihan Li and Lifeng Zhou and David Han}, doi = {10.57702/wjfr6tqu}, institution = {No Organization}, keyword = {'Benchmark', 'Indoor Segmentation', 'Monocular Depth Estimation', 'NYU-Depth V2', 'RGB-D', 'Support Inference', 'depth estimation', 'image segmentation', 'indoor scenes'}, month = {dec}, publisher = {TIB}, title = {NYU-Depth V2}, url = {https://service.tib.eu/ldmservice/dataset/nyu-depth-v2}, year = {2024} }
