Skip to Content
Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

Preparing the data

We have 30 characters and numbers, distributed along 702 images in our dataset with the following distribution. We can check that there are more than  30 images for numbers, but some letters such as K, M, and P, have fewer images samples:

In the following image, we can see a small sample of images from our dataset:

This dataset is very small for deep learning. Deep learning requires a huge amount of samples and is a common technique. In some cases, use a dataset augmentation over the original dataset. Dataset augmentation ...

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

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Joseph Howse, Joe Minichino
Modern CMake for C++

Modern CMake for C++

Rafał Świdziński

Publisher Resources

ISBN: 9781838644673Supplemental Content