R Observatory: Metrics for torchvision version 0.9.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

torchvision

0.9.0

Models, Datasets and Transformations for Images

7packages depend

62.3Kdownloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Tomasz KalinowskiFirst published 2020-10-2911 releasesCRAN page ↗GitHub ↗

Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and its API borrows heavily from the 'PyTorch' vision package.

Install

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

install.packages("torchvision", 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("mlverse/torchvision")

Development version from mlverse/torchvision. 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-torchvision

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-torchvision

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-torchvision

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.5 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.40

0.0%

Coverage · measured lines

100%

Documentation · exports

15

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 56 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 9%
Documented parameters: 100%
Return-value docs: 49%
References docs: 0%

Downloads

62.3K

CRAN downloads in the past year

Rank #1,804 · ~171/day · ~5.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.6K30 days

12.7K90 days

62.3K1 year

Compare downloads with other packages →

Also on232 r2u19 autocran

Repository

GitHub ↗ mlverse/torchvision

77Stars

31Forks

26Open issues

10Open PRs

11Releases

536Commits

18Contributors

536 commits · Last activity 2026-08-10 · +1.3% stars, 30d

Stars over time

2025-07-10 · 692026-07-26 · 77

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/mlverse/torchvision on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Lint, format, editor (2)

AirRStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

24 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (15)

torch fs rlang rappdirsutilsjpeg tiff magrittr png abind jsonlite withr cli glue zeallot

LinkingTo (0)

none

Suggests (10)

arrow magick prettyunits testthat coro R.matlab xml2 knitr rmarkdown torchvisionlib

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

7direct

0indirect

cito torchdatasets LBBNN bundle gofigR luz mlr3torch

Code & Tests

Datasets

People & History

People (8)

Maintainer (1)

Tomasz Kalinowski

Contributor, Maintainer · added in 0.9.0

Authors (1)

Daniel Falbel

Author, Copyright holder

Contributors (6)

Tomasz Kalinowski

Contributor, Maintainer · added in 0.9.0

ANAMASGARD

Contributor · added in 0.9.0

Akanksha Koshti

Contributor · added in 0.7.0

Christophe Regouby

Contributor · added in 0.4.1

Derrick Richard

Contributor · added in 0.7.0

Chandraveer Singh

Contributor · added in 0.9.0

Copyright holders (2)

Daniel Falbel

Author, Copyright holder

Posit Software, PBC

Copyright holder, Funder · added in 0.9.0

Funders (1)

Posit Software, PBC

Copyright holder, Funder · added in 0.9.0

Listed in earlier versions (1)

RStudio

no longer listed · 0.1.0 to 0.8.0

Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.9.0Latest
2026-04-22 · current release · diff ↗
0.8.0
2025-11-06 · diff ↗
0.7.0
2025-07-18 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.6.0
2024-06-14 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.5.1
2023-04-14 · diff ↗
0.5.0
2023-03-15 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.4.1
2022-01-28 · diff ↗
0.4.0
2021-08-17 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.3.0
2021-05-04 · diff ↗
0.2.0
2021-01-05 · diff ↗

Show 2 earlier events

0.1.0
2020-10-29
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-10-29
Total releases: 11 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 2.7 KB / 1 file
Download size: 2.2 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("torchvision")

Format

Kalinowski, T., ANAMASGARD, Posit Software, PBC, Falbel, D., Koshti, A., Regouby, C., Richard, D., & Singh, C. (2026). torchvision: Models, Datasets and Transformations for Images (Version 0.9.0) [Computer software]. https://doi.org/10.32614/CRAN.package.torchvision

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for torchvision version 0.9.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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