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.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). For further details, see the paper published in Physical Review Letters: https://doi.org/10.1103/PhysRevLett.120.033204.