Machine Learning Based Localization and Classification with Atomic Magnetometers - Material and Position

Datasets created with an atomic magnetometer performing magnetic induction imaging, and later analysed with machine learning.<br>In this dataset, the object's position is randomly varied in the (x,y) plane, and four different materials are used.Data are arranged per material (Aluminium, Copper, Graphite, and Ti alloy); position is indicated in the file's name, in mm.Four classes of data are collected: Radius (R), Phase (P), in-phase (X), and out-of-phase (Y). <br>For further details, see the paper published in Physical Review Letters: https://doi.org/10.1103/PhysRevLett.120.033204.<br>