BioImageDbs
Bioc currentBio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub)
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
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.
Call graph
Open call graph →Code intelligence has not been computed for this package yet.
Code
Structure
Lines of code
6,115
Files
45
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
–
Internal functions
0
Testing & CI
Has tests
No
Test-to-code ratio
–
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
–
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
11
First release
2021-09-19
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
People
- Satoshi Kume author maintainer
- Kozo Nishida author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BioImageDbs")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.