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

Bioconductor version: Release (3.19)

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 "4.4") and enter:

if (!require("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:

Providing Bioimage Dataset for ExperimentHub HTML R Script
The BioImageBbs Datasets HTML R Script
Reference Manual PDF


biocViews CellCulture, ExperimentData, ExperimentHub, Tissue
Version 1.12.0
License Artistic-2.0
Depends R (>= 4.1.0)
Imports ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum
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Suggests knitr, BiocStyle, purrr
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Follow Installation instructions to use this package in your R session.

Source Package BioImageDbs_1.12.0.tar.gz
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macOS Binary (x86_64)
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Source Repository git clone
Source Repository (Developer Access) git clone
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