cam2model: Preprocessing Trap Camera Data for Machine Learning Models

Provides tools for preprocessing camera trap image data to prepare it for training machine learning models. It automates tasks such as extracting EXIF metadata, processing and analyzing image attributes, selecting relevant images (e.g., daytime photos), sampling subsets, and managing file organization. These features streamline the workflow for ecological research and wildlife monitoring projects. Additionally, the package includes tools for generating exploratory visualizations and creating annotation datasets.

Version: 0.3.0
Depends: R (≥ 4.1.0)
Imports: dplyr, tidyr, lubridate, stringr, ggplot2, readr, fs, exifr, rlang, tibble, progressr
Suggests: future, future.apply, knitr, rmarkdown, testthat
Published: 2026-10-14
DOI: 10.32614/CRAN.package.cam2model (may not be active yet)
Author: Edlin Guerra-Castro ORCID iD [aut, cph], Arturo Sanchez-Porras ORCID iD [aut, cre]
Maintainer: Arturo Sanchez-Porras <sp.arturo at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: cam2model results

Documentation:

Reference manual: cam2model.html , cam2model.pdf
Vignettes: cam2model workflow (source, R code)

Downloads:

Package source: cam2model_0.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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