The MNIST database is available at http://yann.lecun.com/exdb/mnist/
The MNIST database is a dataset of handwritten digits. It has 60,000 training samples, and 10,000 test samples. Each image is represented by 28x28 pixels, each containing a value 0 - 255 with its grayscale value.
It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.
There are four files available, which contain separately train and test, and images and labels.
Thanks to Yann LeCun, Corinna Cortes, Christopher J.C. Burges.
mnist makes it easier to download and parse MNIST files.
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Python utilities to download and parse the MNIST dataset
We found that mnist demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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