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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

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

DOI retrieved: December 2, 2024

Additional Info

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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