AymanAmeen/SimEIT-dataset

SimEIT数据集是一个基于SimEIT框架生成的电气阻抗断层成像(EIT)大规模合成数据集。该数据集包含了多种几何形状和电导率分布的EIT模拟，旨在为深度学习提供物理一致、多样化的训练数据。数据集支持多分辨率，并与PyTorch深度学习框架集成，便于用户进行逆问题求解算法的开发和评估。

The SimEIT dataset is a large-scale synthetic Electrical Impedance Tomography (EIT) dataset generated using the SimEIT framework. It contains EIT simulations with various geometries and conductivity distributions, designed to provide physically consistent and diverse training data for deep learning. The dataset supports multi-resolution and is integrated with the PyTorch deep learning framework, facilitating the development and evaluation of inverse problem solving algorithms.