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According to the World Drug Report 2020, cocaine and ecstasy are the most consumed stimulant drugs, with 19 and 27 millions estimated users in 2018. Unsurprisingly, large efforts are being made to design fast and cost effective analytical methods to track and monitor the distribution networks of these synthetic drugs. Here we share two datasets of ecstasy pills seized in the north-east of Switzerland between 2010 and 2011. The first contains 621 forensic grade images of pills, while the second one consists of 486 mIR spectra. While both sets are not covering the same seizure, both provide high quality data with orthogonal information to evaluate clustering and dimension reduction methods. High resolution jpg files can be found here: 10.5281/zenodo.4124562
high resolution jpg files can be found here: 10.5281/zenodo.4124562
machine learning, image analysis, Ecstasy, XTC, infrared spectroscopy
machine learning, image analysis, Ecstasy, XTC, infrared spectroscopy
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