mulgar (version 1.0.5)

sketches_train: Images of sketches for training

Description

This data is a subset of images from https://quickdraw.withgoogle.com The subset was created using the quickdraw R package at https://huizezhang-sherry.github.io/quickdraw/. It has 6 different groups: banana, boomerang, cactus, flip flops, kangaroo. Each image is 28x28 pixels. This data would be used to train a classification model.

Format

A data frame with 5998 rows and 786 columns

Details

V1-V784

grey scale 0-255

word

what the person was asked to draw

id

unique id for each sketch

Examples

require(ggplot2)
data("sketches_train")
x <- sketches_train[sample(1:nrow(sketches_train), 1), ]
# print(x$word)
xm <- data.frame(gry=t(as.matrix(x[,1:784])),
        x=rep(1:28, 28),
        y=rep(28:1, rep(28, 28)))
ggplot(xm, aes(x=x, y=y, fill=gry)) +
  geom_tile() +
  scale_fill_gradientn(colors = gray.colors(256, start = 0, end = 1, rev = TRUE )) +
  theme_void() + theme(legend.position="none")