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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](https://github.com/GelSight-lab/EstimateModulus/tree/main).
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Dataset Format
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- Sampled grasping contact forces: `forces.pkl`
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- Sampled gripper widths: `widths.pkl`
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- Elastic analytical model estimate: `elastic_estimate.pkl`
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- Hertzian analytical model estimate: `hertz_estimate.pkl`
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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](https://github.com/GelSight-lab/EstimateModulus/tree/main).
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Pre-print is available on [arXiv](https://arxiv.org/abs/2406.15304).
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Dataset Format
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---------------
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- Sampled grasping contact forces: `forces.pkl`
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- Sampled gripper widths: `widths.pkl`
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- Elastic analytical model estimate: `elastic_estimate.pkl`
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- Hertzian analytical model estimate: `hertz_estimate.pkl`
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Dataset Diversity:
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Shapes:
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- Cylinder: 20.2%
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- Rectangular: 15.3%
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- Sphere: 11.5%
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- Hexagonal: 2.1%
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- Irregular: 50.9%
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Materials:
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- Rubber: 28.6%
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- Metal: 25.1%
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- Plastic: 24.0%
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- Wood: 8.4%
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- Foam: 6.3%
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- Other: 7.6%
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