2 datasets found
  1. O

    GraspNet-1Billion

    • opendatalab.com
    • zenodo.org
    zip
    Updated Oct 10, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shanghai Jiao Tong University (2020). GraspNet-1Billion [Dataset]. https://opendatalab.com/OpenDataLab/GraspNet-1Billion
    Explore at:
    zip(266760043899 bytes)Available download formats
    Dataset updated
    Oct 10, 2020
    Dataset provided by
    Shanghai Jiao Tong University
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    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.

  2. h

    HOH-Grasps

    • huggingface.co
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TARS, HOH-Grasps [Dataset]. https://huggingface.co/datasets/tars-home/HOH-Grasps
    Explore at:
    Dataset authored and provided by
    TARS
    Description

    HOH-Grasps Dataset

    The dataset contains three main zip files: object_grasp_labels.zip, which stores all object grasp labels, and scenes_group1.zip and scenes_group2.zip, which store all scene data. All units are in meters, and all angles are in radians.

      object_grasp_labels

    The object_grasp_labels.zip when unzipped yields the folder object_grasp_labels under which, there are three subfolders:

    graspnet: GraspNet-format [1] grasp labels stored in .npz files, named by object… See the full description on the dataset page: https://huggingface.co/datasets/tars-home/HOH-Grasps.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Shanghai Jiao Tong University (2020). GraspNet-1Billion [Dataset]. https://opendatalab.com/OpenDataLab/GraspNet-1Billion

GraspNet-1Billion

OpenDataLab/GraspNet-1Billion

Explore at:
383 scholarly articles cite this dataset (View in Google Scholar)
zip(266760043899 bytes)Available download formats
Dataset updated
Oct 10, 2020
Dataset provided by
Shanghai Jiao Tong University
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Description

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.

Search
Clear search
Close search
Google apps
Main menu