The HYPA-p dataset contains processed image data of a variety of gravure printed patterns. The processed image data is obtained by automated processing of raw image data. The raw image data was 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-p dataset mainly aims at data-driven analysis of hydrodynamic pattern formation in gravure printing.

HYPA-p stands for hydrodynamic patterns. The suffix -p stands for processed data.

In the related HYPA-r dataset, the corresponding raw (-r) image data can be found. The Python code for automated processing of HYPA-r to HYPA-p is provided in the folder 'code_HYPA-p.zip' (second last item in dataset, click 'show more').

To get a quick impression of the dataset, a small amount of example-images for S-fields, S-subfields and L-fields is made available in the folder 'examples.zip' (first item in dataset).

Metadata for the HYPA-p dataset can be found in the dissertation of Pauline Rothmann-Brumm (2023) and in the provided README-file (last item in dataset, click 'show more').