8 datasets found

Groups: Grasping Organizations: No Organization

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  • Grasp dataset for robotic grasping

    A dataset of successful, cylindrical precision robotic grasps using the V-REP simulator and object files provided by Kleinhans et al. on a simulated "picking" task.

  • ContactDB

    A dataset of grasps with object contact and hand pose, containing 3D annotations of hand pose, object pose, and contact area.

  • FPHA Dataset

    The FPHA dataset is a real-world dataset for studying hand-object interaction.

  • HO-3D and FPHA Datasets

    The HO-3D and FPHA datasets are real-world datasets for studying hand-object interaction.

  • Obman Dataset

    The Obman dataset is a synthetic dataset containing hand-object mesh pairs. The hands are generated by a non-learning based method GraspIt! and are parameterized by the MANO model.

  • ModelNet dataset

    The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object.

  • PhyPartNet

    PhyPartNet is a large-scale 3D-linguistic dataset for robotic grasping, featuring 195K object instances with varying physical properties and human preferences.

  • DexYCB

    The DexYCB dataset is a large-scale dataset of hand-grasping postures captured using a synchronized setup of 8 cameras.
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