Training dataset

Published: 3 November 2021| Version 1 | DOI: 10.17632/4hjt9dzcvd.1
Contributor:
Grzegorz Kłosowski

Description

Training data to train predictive models for electrical impedance tomography. The goal is to detect gas bubbles and crystals in liquid-filled tanks. The data contains 35,000 cases and is in Matlab variable format.

Files

Categories

Machine Learning, Electrical Impedance Tomography

Licence