This submission contains a collection of 235800 X-ray projections of 131 pieces of modeling clay (Play-Doh) with various numbers of stones inserted. The submission is intended as an extensive and easy-to-use training dataset for supervised machine learning driven object detection. The ground truth locations of the stones are included. The data is supplementary material to the paper titled "A tomographic workflow enabling deep learning for X-ray based foreign object detection" [Zeegers 2022].

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Tescan XRE, Ghent, Belgium
doi.org/10.5281/zenodo.5681008
Real-Time 3D Tomography
creativecommons.org/licenses/by/4.0/legalcode
Computational Imaging

Zeegers, M.T. (2022). A collection of X-ray projections of 131 pieces of modeling clay containing stones for machine learning-driven object detection. doi:10.5281/zenodo.5681008