O'Reilly logo

OpenCV 3 Blueprints by Utkarsh Sinha, Quan Hua, Steven Puttemans, Joseph Howse

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Smartly selecting and preparing application specific training data

In this section, we will discuss how much training samples are needed according to the situational context and highlight some important aspects when preparing your annotations on the positive training samples.

Let's start by defining the principle of object categorization and its relation to training data, which can be seen in the following figure:

Smartly selecting and preparing application specific training data

An example of positive and negative training data for an object model

The idea is that the algorithm takes a set of positive object instances, which contain the different presentations of the object you want to detect (this means object instances ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required