Grasp-Anything-6D

Grasp-Anything-6D is a large-scale dataset for language-driven 6-DoF grasp detection in 3D point clouds. It consists of 1M point cloud scenes with comprehensive object grasping prompts and dense 6-DoF grasp pose annotations.

Data and Resources

Cite this as

Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Van Vo, Vy Truong, Ngan Le, Thieu Vo, Bac Le, Anh Nguyen (2024). Dataset: Grasp-Anything-6D. https://doi.org/10.57702/rb3uarxo

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.2407.13842
Author Toan Nguyen
More Authors
Minh Nhat Vu
Baoru Huang
Tuan Van Vo
Vy Truong
Ngan Le
Thieu Vo
Bac Le
Anh Nguyen
Homepage https://airvlab.github.io/grasp-anything