MNIST Images of All Digits

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)