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2400 instances of scattering parameters measured at 10.0 GHz to detect contaminants in packaged food jars. The dataset includes 1200 uncontaminated and 1200 contaminated samples across 11 classes of contaminants like metal, glass, and plastic. It was created by Luca Urbinati as part of a series of five datasets measured at different microwave frequencies.
This is one dataset in a series of five, each measured at a different frequency (9.0, 9.5, 10.0, 10.5, 11.0 GHz). The other four datasets are separate listings on the author's OpenML profile. Licensed under CC-BY-SA-4.0.