The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger NIST Special Database 3 (digits written by employees of the United States Census Bureau) and Special Database 1 (digits written by high school students) which contain monochrome images of handwritten digits. The digits have been size-normalized and centered in a fixed-size image. The original black and white (bilevel) images from NIST were size normalized to fit in a 20x20 pixel box while preserving their aspect ratio. The resulting images contain grey levels as a result of the anti-aliasing technique used by the normalization algorithm. the images were centered in a 28x28 image by computing the center of mass of the pixels, and translating the image so as to position this point at the center of the 28x28 field.
Source: http://yann.lecun.com/exdb/mnist/
Image Source: https://en.wikipedia.org/wiki/MNIST_database#/media/File:MnistExamples.png
Variants: USPS-to-MNIST, MNIST-to-USPS, Rotating MNIST, Noisy MNIST (Motion), Noisy MNIST (Contrast), Noisy MNIST (AWGN), MNIST (Conditional), Indexed Rotating MNIST, Rotated MNIST, Moving MNIST, Sequential MNIST, SVNH-to-MNIST, MNIST-test, MNIST-full, MNIST, 75 Superpixel MNIST
This dataset is used in 31 benchmarks:
Recent papers with results on this dataset:
