Package: BioImageDbs Type: Package Title: Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub) Version: 1.21.0 Encoding: UTF-8 Authors@R: c( person (given = "Satoshi", family = "Kume", role = c("aut", "cre"), email = "satoshi.kume.1984@gmail.com", comment = c(ORCID = "0000-0001-7481-2843")), person(given = "Kozo", family = "Nishida", role = c("aut"), email = "kozo.nishida@gmail.com", comment = c(ORCID = "0000-0001-8501-7319")) ) Depends: R (>= 4.1.0) Imports: ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum Suggests: knitr, BiocStyle, purrr Description: The package provides a bioimage dataset for the image analysis using machine learning and deep learning. The dataset includes microscopy imaging data with supervised labels. The data is provided as R list data that can be loaded to Keras/tensorflow in R. VignetteBuilder: knitr License: Artistic-2.0 URL: https://kumes.github.io/BioImageDbs/ LazyLoad: yes biocViews: ExperimentHub, ExperimentData, CellCulture, Tissue RoxygenNote: 7.1.1 Config/pak/sysreqs: cmake libfftw3-dev make libmagick++-dev gsfonts texlive libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:35:08 UTC RemoteUrl: https://github.com/bioc/BioImageDbs RemoteRef: HEAD RemoteSha: 5064ecaa874cf7248c035dacd2c04748cfd60544 NeedsCompilation: no Packaged: 2026-10-14 11:48:03 UTC; root Author: Satoshi Kume [aut, cre] (ORCID: ), Kozo Nishida [aut] (ORCID: ) Maintainer: Satoshi Kume