ParasitoBank: Dataset of helminths and protozoa in coprology samples

Published: 7 November 2024| Version 1 | DOI: 10.17632/725hpzpwzf.1
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Description

This dataset contains 779 images of the visual field from fresh fecal samples analyzed under the microscope. These images were acquired using a Motorola G84 cellphone at resolutions of 3,072 x 3,072 pixels and 3,072 x 4,080 pixels. Parasite content was labeled by outlining regions, resulting in a total of 1,620 intestinal parasites, with a particular focus on intestinal protozoa. Through image processing, non-informative and noisy regions that did not provide relevant information within the visual field were removed, yielding images with an approximately 1:1 aspect ratio and a resolution of 2,100 x 2,100 pixels. The labeling information was organized in a JSON file following the “Common Objects in Context” (COCO) format, which was combined with the folder containing the images into a compressed file.

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Institutions

Universidad del Cauca

Categories

Helminth, Protozoa, Health, Parasite (Microbiology), Deep Learning

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