Datasets › GelSight Young's Modulus Dataset

GelSight Young's Modulus Dataset

Introduced in Learning Object Compliance via Young's Modulus from Single Grasps using Camera-Based Tactile Sensors18 Jun 2024 archive 2025-07-28

GelSight Young's Modulus Dataset

by Michael Burgess

Dataset of tactile images collected over grasping common objects labelled with the objects' Young's Moduli. All images are collected using GelSight Wedges, both with and without displacement markers. Associated code is available on GitHub.

Dataset Format

Each object is grasped a number of times, and each of these grasps is downsampled to 3 frames and shifted to create different data augmentations of the same grasp. Collected data is split into folders according to the following structure...

gelsight_youngs_modulus_dataset
└── {object_name}
    ├── metadata.json
    └── grasp={grasp_number}
        └── augmentation={augmentation_number}
             ├── RGB.pkl
             ├── depth.pkl
             ├── RGB_markers.pkl
             ├── depth_markers.pkl
             ├── forces.pkl
             ├── widths.pkl
             ├── elastic_estimate.pkl
             └── hertz_estimate.pkl

In the OBJECT_NAME folder, metadata for each object is provided in a .json file, including the object's shape, material, Young's modulus, and Shore hardness.

metadata = {
    'object_name':         {object_name}, # [str]
    'youngs_modulus':      0.0, # [Pa]
    'material':            '', # [str]
    'shape':               '', # [str]
    'shore_00_hardness':   None, # [/]
    'shore_A_hardness':    None, # [/]
    'shore_D_hardness':    None, # [/]
    'used_in_training':    True # [bool]
}

In the AUGMENTATION_NUMBER folder, data is provided in .pkl files. You will find the following named conventions... - Tactile RGB images (3 images, without markers): RGB.pkl - Tactile depth images (3 images, without markers): depth.pkl - Tactile RGB images (3 images, with markers): RGB_markers.pkl - Tactile depth images (3 images, with markers): depth_markers.pkl - Sampled grasping contact forces: forces.pkl - Sampled gripper widths: widths.pkl - Elastic analytical model estimate: elastic_estimate.pkl - Hertzian analytical model estimate: hertz_estimate.pkl

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GelSight Young's Modulus Dataset

1 variant name, as the archive lists them.

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