Machine Learning for OpenCV 4 - Second Edition

Generating new data

Before proceeding with the further steps, let's quickly understand one very crucial step for every machine learning engineer—data generation. We know that all machine learning and deep learning techniques require a huge amount of data—in simple terms: the bigger, the better. But what if you don't have enough data? Well, you can end up with a model that doesn't have enough accuracy. The common technique employed (if you are not able to generate any new data) is to use the majority of the data for training. The major downside of this is that you have a model that is not generalized or, in other terms, suffers from overfitting.

One solution to deal with the preceding issue is to generate new data or, as it is commonly referred ...