Skin_segmentation

Rajen and Abhinav (2012) addressed the challenge of detecting skin-like
regions in images as a component of the intricate process of facial recognition.
To achieve this goal, they curated the “Skin segmentation” data set, comprising
RGB (R-red, G-green, B-blue) values of randomly selected pixels from
N = 245,057 facial images, including 50,859 skin samples and 194,198 nonskin
samples, spanning diverse age groups, racial backgrounds, and genders.

datasets

Subsampling methods for big data under different models and assumptions.
Starting with linear regression and leading to Generalised Linear Models, softmax
regression, and quantile regression. Specifically, the model-robust subsampling method
proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) <doi:10.1007/s00362-023-01446-9>,
where multiple models can describe the big data, and the subsampling framework for potentially
misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025)
<doi:10.48550/arXiv.2510.05902>.

Amalan Mahendran

NeEDS4BigData

New Experimental Design Based Subsampling Methods for Big Data

Skin_segmentation function

A data frame with 4 columns and 245,057 rows.<dl>
<dt><code>Skin_presence</code></dt>
<dd>Skin presence in the randomly selected pixels</dd><dt><code>Red</code></dt>
<dd>Red values in the randomly selected pixels</dd><dt><code>Green</code></dt>
<dd>Green values in the randomly selected pixels</dd><dt><code>Blue</code></dt>
<dd>Blue values in the randomly selected pixels</dd>
</dl>

Format

Skin segmentation data — Skin_segmentation

A data frame with 4 columns and 245,057 rows.<dl>
<dt><code>Skin_presence</code></dt>
<dd>Skin presence in the randomly selected pixels</dd>

<dt><code>Red</code></dt>
<dd>Red values in the randomly selected pixels</dd>

<dt><code>Green</code></dt>
<dd>Green values in the randomly selected pixels</dd>

<dt><code>Blue</code></dt>
<dd>Blue values in the randomly selected pixels</dd>


</dl>

Skin_segmentation: Skin segmentation data

Description

Usage

Arguments

Format

Examples