Skip to Content
Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
book

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

by Joseph Howse, Joe Minichino
February 2020
Intermediate to advanced
372 pages
9h 26m
English
Packt Publishing
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Understanding the MNIST database of handwritten digits

The MNIST database (or Modified National Institute of Standards and Technology database) is publicly available at http://yann.lecun.com/exdb/mnist/. The database includes a training set of 60,000 images of handwritten digits. Half of these were written by employees of the United States Census Bureau, while the other half were written by high school students in the United States.

The database also includes a test set of 10,000 images, gathered from the same writers. All the training and test images are in grayscale format, with dimensions of 28 x 28 pixels. The digits are white (or shades of gray) on a black background. For example, here are three of the MNIST training samples:

As an ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Building Computer Vision Projects with OpenCV 4 and C++

Building Computer Vision Projects with OpenCV 4 and C++

David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot

Publisher Resources

ISBN: 9781789531619Supplemental Content