# 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
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