A collection of X-ray projections of 131 pieces of modeling clay containing stones for machine learning-driven object detection
Introduced by Zeegers et al. in A tomographic workflow to enable deep learning for X-ray based foreign object detection
This dataset contains a collection of 235800 X-ray projections of 131 pieces of modeling clay (Play-Doh) with various numbers of stones inserted. The dataset 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.
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