Dataset Groups Activity Stream 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. BibTex: @dataset{Xinni_Jiang_and_Zengsheng_Kuang_and_Chunle_Guo_and_Ruixun_Zhang_and_Lei_Cai_and_Xiao_Fan_and_Chongyi_Li_2024, abstract = {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.}, author = {Xinni Jiang and Zengsheng Kuang and Chunle Guo and Ruixun Zhang and Lei Cai and Xiao Fan and Chongyi Li}, doi = {10.57702/2lkei111}, institution = {No Organization}, keyword = {'3D object recognition', 'Coded Visual Odometry', 'Depth Estimation', 'NYUv2', 'RGB image', 'Visual Odometry', 'depth estimation', 'depth map', 'depth regression', 'depth super-resolution', 'monocular depth estimation', 'semantic segmentation', 'single image'}, month = {dec}, publisher = {TIB}, title = {NYUv2 dataset}, url = {https://service.tib.eu/ldmservice/dataset/nyuv2-dataset}, year = {2024} }
