anonymous-submission-hf/tactile-mnist-touch-syn-single-t32-320x240
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这是一个合成触觉MNIST数据集，基于图像格式，专为触觉传感和分类任务设计。数据集模拟了使用GelSight Mini传感器进行的触觉感知实验，每轮包含32次触摸操作，图像分辨率为320x240。它适用于图像分类任务，旨在支持触觉感知相关的研究和应用，如机器人触觉识别。
This is a synthetic tactile MNIST dataset in image format, designed for tactile sensing and classification tasks. The dataset simulates tactile perception experiments using the GelSight Mini sensor, with each round containing 32 touches and images at a resolution of 320x240. It is suitable for image classification tasks and aims to support research and applications in tactile perception, such as robotic tactile recognition.
