R Observatory: Metrics for imageseg version 0.5.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

imageseg

0.5.2Package record

Deep Learning Models for Image Segmentation

0packages depend

3Kdownloads / year

18.2%test coverage

13/13flavors OK

Overview

About

Maintained by Juergen NiedballaCRAN page ↗GitHub ↗Issues ↗

A general-purpose workflow for image segmentation using TensorFlow models based on the U-Net architecture by Ronneberger et al. (2015) doi:10.48550/arXiv.1505.04597 and the U-Net++ architecture by Zhou et al. (2018) doi:10.48550/arXiv.1807.10165. We provide pre-trained models for assessing canopy density and understory vegetation density from vegetation photos. In addition, the package provides a workflow for easily creating model input and model architectures for general-purpose image segmentation based on grayscale or color images, both for binary and multi-class image segmentation.

Changes in 0.5.2

changed maintainer email
removed vignette from package (it is still on GitHub page)

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("imageseg", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("EcoDynIZW/imageseg")

Development version from EcoDynIZW/imageseg. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-imageseg

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-imageseg

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-imageseg

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.1 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-27
NOTE13 NOTE2026-06-09
ERROR12 NOTE, 1 ERROR2026-06-08

Show 1 earlier changeHide 1 earlier change

NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.5.2

READMEYes · 384 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 0.5.2Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10includes a package overview page
Examples that run: 56%5 run in a plain check · 4 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 20%

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #14,961 · ~8/day · ~248/mo

Releases R versions

Daily download trend is not available in this view yet.

28430 days

80890 days

3K1 year

Compare downloads with other packages →

Also on89 r2u6 autocran

How downloads are counted

Repository

ecodynizw/imageseg ↗Organization: EcoDynIZW

19Stars

2Forks

0Open issues

0Open PRs

1Releases

54Commits

1Commit identities

image-segmentationkerastensorflow

54 commits · Last activity 2026-07-22

Responsiveness

How these are sampled

PRs merged (all time): 0%
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: 112

Stars over time

2025-07-18 · 182026-07-07 · 19

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ecodynizw/imageseg on 2026-10-21.

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing imageseg adds 42 packages (23 with compiled code, 22 MB of source tarballs). Heaviest: magick 4.4 MB, keras 3.4 MB, tfruns 1.9 MB.

Depends (0)

none

Imports (12)

grDeviceskeras magick magrittrmethodspurrrstatstibble foreachparalleldoParallel dplyr

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Juergen Niedballa

Author, Maintainer since 0.4.0 (2021)

Jan Axtner

Author

Leibniz Institute for Zoo and Wildlife Research

Copyright holder

Releases (3)

Pick two releases to compare their code metrics.

0.5.2Latest
record
2026-07-21 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.5.0
record
2022-05-30 · diff ↗ ·
added 1 export
u_net_plusplus
R
R 4.2.0 released · 2022-04-22
0.4.0
record
2021-12-09
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-09
Total releases: 3 / 5 yrs
License: MIT + file LICENSE OSI
Download size: 2.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("imageseg")

Format

Niedballa, J., Leibniz Institute for Zoo and Wildlife Research, & Axtner, J. (2026). imageseg: Deep Learning Models for Image Segmentation (Version 0.5.2) [Computer software]. https://doi.org/10.32614/CRAN.package.imageseg

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for imageseg version 0.5.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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