digits: MNIST Images of All Digits

In T4transport: Tools for Computational Optimal Transport

MNIST Images of All Digits

Description

digits contains 5000 images from the famous MNIST dataset of all digits, consisting of 500 images per digit class from 0 to 9. Each digit image is represented as an (28\times 28) matrix that sums to 1. This normalization is conventional and it does not hurt its visualization via a basic image() function.

Usage

data(digits)

Format

a named list "digits" containing

image

length-5000 list of (28\times 28) image matrices.

label

length-5000 vector of class labels from 0 to 9.

Examples

## LOAD THE DATA
data(digits)

## SHOW A FEW
#  Select 9 random images
subimgs = digits$image[sample(1:5000, 9)]

opar <- par(no.readonly=TRUE)
par(mfrow=c(3,3), pty="s")
for (i in 1:9){
  image(subimgs[[i]])
}
par(opar)

T4transport documentation built on April 12, 2023, 12:37 p.m.