Skip to main content

Python utilities to download and parse the MNIST dataset

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mnist-0.2.1.tar.gz (3.2 kB view details)

Uploaded Source

File details

Details for the file mnist-0.2.1.tar.gz.

File metadata

  • Download URL: mnist-0.2.1.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for mnist-0.2.1.tar.gz
Algorithm Hash digest
SHA256 0cb9592f7397c1749cff7085c21724de79e7496dc136d43fb91788c72d57f926
MD5 4d0599bfad80ece03ac05bdd53287416
BLAKE2b-256 dc14310d7f4ebfbf626fda1199f412f7eec10ca9c083f97a109327ebd5cfa9d6

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page