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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

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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

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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
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