The HYPA-r dataset contains raw image data of a variety of gravure printed patterns. The raw image data is created by high-resolution scanning of printed samples from industrial gravure printing web-presses. Pattern types, which are represented in the dataset, are dot patterns, finger patterns and mixed patterns. The HYPA-r dataset mainly aims at data-driven analysis of hydrodynamic pattern formation in gravure printing.
HYPA-r stands for hydrodynamic patterns. The suffix -r stands for raw data.
To get a quick impression of the dataset, two example-images are provided separately for download, named 'G1-01_WCPvbam_V005_ESA0_L01.tif' and 'G1-01_WCPvbam_V005_ESA0_S01.tif'.
Metadata for the HYPA-r dataset can be found in the dissertation of Pauline Rothmann-Brumm (2023) and in the provided README-file.
In the related HYPA-p dataset, the corresponding processed (-p) image data can be found.