GraspNet-1Billion provides large-scale training data and a standard evaluation platform for the task of general robotic grasping. The dataset contains 97,280 RGB-D image with over one billion grasp poses.
Variants: GraspNet-1Billion
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Robotic Grasping | GtG2.0 | Grasp the Graph (GtG) 2.0: … | 2025-05-05 |
| Robotic Grasping | graspness-CD | Graspness Discovery in Clutters for … | 2024-06-17 |
| Robotic Grasping | HGGD-CD | Efficient Heatmap-Guided 6-Dof Grasp Detection … | 2024-03-27 |
| Robotic Grasping | HGGD | Efficient Heatmap-Guided 6-Dof Grasp Detection … | 2024-03-27 |
| Robotic Grasping | Scale-Balanced-Grasp-CD | Towards Scale Balanced 6-DoF Grasp … | 2022-12-10 |
Recent papers with results on this dataset: