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Detects near-duplicate images across dataset splits using perceptual hashing, reports the resulting train/validation/test contamination, and produces a corrected, leak-free split assignment. Intended for machine learning researchers who need to verify that image classification splits do not share near-duplicate samples across partitions before reporting model metrics.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | magick |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-07-29 |
| DOI: | 10.32614/CRAN.package.leakaudit |
| Author: | Kartik Patel [aut, cre], Samruddhi Amol Shah [aut], BitandByte [cph] |
| Maintainer: | Kartik Patel <kartikpatel.id at gmail.com> |
| BugReports: | https://github.com/anakincodex/leakaudit/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/anakincodex/leakaudit |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | leakaudit results |
| Reference manual: | leakaudit.html , leakaudit.pdf |
| Vignettes: |
Getting started with leakaudit (source, R code) |
| Package source: | leakaudit_0.1.0.tar.gz |
| Windows binaries: | r-devel: leakaudit_0.1.0.zip, r-release: leakaudit_0.1.0.zip, r-oldrel: leakaudit_0.1.0.zip |
| macOS binaries: | r-release (arm64): leakaudit_0.1.0.tgz, r-oldrel (arm64): leakaudit_0.1.0.tgz, r-release (x86_64): leakaudit_0.1.0.tgz, r-oldrel (x86_64): leakaudit_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.