What is the Texture TacTip Dataset used for?

The dataset is used for tactile sensing research, robotics applications, and training machine learning models for surface texture recognition.

How is the Texture TacTip data structured?

The dataset contains detailed optical tactile sensor readings organized for easy integration with AI and robotics workflows.

In which format is the Texture TacTip Dataset available?

The dataset is available in JSON format for straightforward use in machine learning models.

Is the Texture TacTip Dataset quality assured?

Yes, GTS ensures high quality through strict QC processes and ISO-certified standards (ISO 9001:2015, ISO 27001:2013).

Texture TacTip Dataset

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Texture TacTip Dataset

Datasets

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Texture TacTip

Use Case

Texture TacTip

Description

Explore the Texture TacTip Dataset featuring detailed optical tactile sensor readings across diverse surfaces.

Description:

This dataset consists of readings from optical tactile sensors dragged across various surfaces at different pressures. It contains data across 20 frames and is divided into two parts: “X_texture_all” and “X_texture_gel.” The former uses clear silicone, and the latter uses a more sensitive but fragile clear gel.

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Dataset Details

X_texture_gel Labels:

Carpet: 25

LacedMatt: 30

Cork: 32

Felt: 31

LongCarpet: 42

Cotton: 41

Plastic: 26

Flat: 33

Ffoam: 44

Gfoam: 29

Leatherc: 14

Bubble: 28

Efoam: 43

Jeans: 36

Leather: 38

Fwool: 40

X_texture_all Labels:

Cork: 38

Wool: 19

LacedMatt: 28

Gfoam: 30

Carpet: 31

Bubble: 37

Efoam: 21

Cotton: 29

LongCarpet: 25

Flat: 16

Felt: 34

Jeans: 39

Ffoam: 36

This dataset is sourced from Kaggle.

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Texture TacTip Dataset