Dataset Groups Activity Stream ShapeNetPart The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories. BibTex: @dataset{Seunghwan_Jung_and_Yeong-Gil_Shin_and_Minyoung_Chung_2024, abstract = {The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.}, author = {Seunghwan Jung and Yeong-Gil Shin and Minyoung Chung}, doi = {10.57702/g83p57le}, institution = {No Organization}, keyword = {'3D Models', '3D Object Recognition', '3D Object Segmentation', '3D Shapes', '3D models', '3D point clouds', 'Computer-Aided Design', 'Object Classification', 'Part Segmentation', 'Point Cloud Analysis', 'Point Cloud Classification', 'Point Clouds', 'ShapeNet', 'computer vision', 'object part segmentation', 'object segmentation', 'part segmentation', 'point clouds', 'synthetic dataset'}, month = {nov}, publisher = {TIB}, title = {ShapeNetPart}, url = {https://service.tib.eu/ldmservice/dataset/shapenetpart}, year = {2024} }
