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leakaudit  

Detect and Audit Train/Test Leakage from Near-Duplicate Images
View on CRAN: Click here


Download and install leakaudit package within the R console
Install from CRAN:
install.packages("leakaudit")

Install from Github:
library("remotes")
install_github("cran/leakaudit")

Install by package version:
library("remotes")
install_version("leakaudit", "0.1.0")



Attach the package and use:
library("leakaudit")
Maintained by
Kartik Patel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-29
Latest Update: 2026-07-29
Description:
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.
How to cite:
Kartik Patel (2026). leakaudit: Detect and Audit Train/Test Leakage from Near-Duplicate Images. R package version 0.1.0, https://cran.r-project.org/web/packages/leakaudit. Accessed 25 Oct. 2026.
Previous versions and publish date:
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