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dc.contributor.authorReich, Christoph
dc.contributor.authorPrangemeier, Tim
dc.contributor.authorFrançani, André
dc.contributor.authorKoeppl, Heinz
dc.date.accessioned2023-04-18T13:20:53Z
dc.date.available2023-04-18T13:20:53Z
dc.date.issued2023-04-18
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3799
dc.identifier.urihttps://doi.org/10.48328/tudatalib-1125
dc.descriptionYeast cell instance-segmentation dataset of the paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures" [EMBC, 2023]. https://arxiv.org/abs/2304.07597 We present and publicly release (under MIT license) a dataset of yeast (Saccharomyces cerevisiae) cells in microstructures with instance segmentation annotations. The dataset is comprised of 493 densely annotated brightfield microscopy images (instance segmentation) of different TLFM experiments with different microstructures (traps). Please refer to our GitHub repository or to the paper for more information. Project page: https://christophreich1996.github.io/yeast_in_microstructures_dataset/ Code (data loading & evaluation): https://github.com/ChristophReich1996/Yeast-in-Microstructures-Datasetde_DE
dc.language.isoende_DE
dc.relationIsPartOf;arXiv;2304.07597
dc.rightsMIT License
dc.rights.urihttps://opensource.org/licenses/MIT
dc.subjectinstance-segmentationde_DE
dc.subjectcomputer-visionde_DE
dc.subjectsegmentationde_DE
dc.subjectcell-segmentationde_DE
dc.subjectyeast-cellde_DE
dc.subject.classification4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahrende_DE
dc.subject.classification4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
dc.subject.ddc004
dc.titleYeast Cells in Microstructures Datasetde_DE
dc.typeDatasetde_DE
tud.unitTUDa
tud.history.classificationVersion=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung


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Except where otherwise noted, this item's license is described as MIT License