# Content
This dataset represents the Hello World of image classification datasets. It contains 28px*28px grayscale images of handwritten digits (0 to 9)
In total, it contains 60000 training samples and 10000 test samples.
The zip file contains 4 files:
train-images-idx3-ubyte: training set images
train-labels-idx1-ubyte: training set labels
t10k-images-idx3-ubyte: test set images
t10k-labels-idx1-ubyte: test set labels
Extracting the images can be done through steps explained in Yann Lecun's website:
http://yann.lecun.com/exdb/mnist/
It can be used to implement an Optical Character Recognition (OCR) algorithm.
# Authors
Yann LeCun, Courant Institute, NYU
Corinna Cortes, Google Labs, New York
Christopher J.C. Burges, Microsoft Research, Redmond
# Source
http://yann.lecun.com/exdb/mnist/
# Citation
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. \"Gradient-based learning applied to document recognition.\" Proceedings of the IEEE, 86(11):2278-2324, November 1998.
MNIST Handwriting digits images dataset
Files
License
CC BY-SA 4.0