First 100 digits from the MNIST data set belonging to classes '0', '1', and '7' representable as curves agter skeletonization.
data("mnistShort017")
A list of three elements `0`, `1`, and `7`, each being an array with
dimensions (28, 28, 100)
. Each slice of each of these arrays, in third
dimension, contains a single monochrome digit image represented by a
28x28
indicator matrix. See
Lafaye De Micheaux, Mozharovksyi and Vimond (2018) and accompanying codes for
details on preprocessing.
LeCun, Y., Bottou, L.,Bengio, Y., and Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.
Lafaye De Micheaux, P., Mozharovskyi, P. and Vimond, M. (2018). Depth for curve data and applications.