DOI: 10.18129/B9.bioc.BioImageDbs    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see BioImageDbs.

Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub)

Bioconductor version: 3.13

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.

Author: Satoshi Kume [aut, cre] , Kozo Nishida [aut]

Maintainer: Satoshi Kume <satoshi.kume.1984 at>

Citation (from within R, enter citation("BioImageDbs")):


To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



HTML R Script Providing Bioimage Dataset for ExperimentHub
PDF   Reference Manual
Text   NEWS


biocViews CellCulture, ExperimentData, ExperimentHub, Tissue
Version 1.0.5
License Artistic-2.0
Depends R (>= 4.1.0)
Imports ExperimentHub(>= 1.16.1), markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum
Suggests knitr, BiocStyle, purrr
Depends On Me
Imports Me
Suggests Me
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package BioImageDbs_1.0.5.tar.gz
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