GraspNet-1Billion

GraspNet-1Billion is a large-scale real-world grasping dataset containing 190 cluttered grasping scenes and 97,280 RGB-D images captured by 2 kinds of RGB-D cameras from 256 different views.

Data and Resources

Cite this as

Haowen Wang, Wanhao Niu, Chungang Zhuang (2024). Dataset: GraspNet-1Billion. https://doi.org/10.57702/pb6ec1hm

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2312.03345
Citation
  • https://doi.org/10.48550/arXiv.2407.13842
  • https://doi.org/10.48550/arXiv.2407.15771
Author Haowen Wang
More Authors
Wanhao Niu
Chungang Zhuang
Homepage https://arxiv.org/abs/2006.11111