You're currently viewing an old version of this dataset. To see the current version, click here.

ModelNet10, ModelNet40, and ScanObjectNN

The dataset used in the PointCLIP paper is ModelNet10, ModelNet40, and ScanObjectNN. ModelNet10 consists of 4,899 synthetic meshed CAD models with 10 indoor categories, 3,991 for training and 908 for testing. ModelNet40 is larger and contains 12,311 samples of 40 common categories, 9,843 for training and 2,468 for testing. ScanObjectNN contains 2,321 training and 581 testing point clouds of 15 categories collected directly from real-world scans.

Data and Resources

This dataset has no data

Cite this as

Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li (2024). Dataset: ModelNet10, ModelNet40, and ScanObjectNN. https://doi.org/10.57702/jvwgg65m

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Renrui Zhang
More Authors	Ziyu Guo Wei Zhang Kunchang Li Xupeng Miao Bin Cui Yu Qiao Peng Gao Hongsheng Li
Homepage	https://github.com/ZrrSkywalker/PointCLIP