This chapter of the book has really rounded up our experience and made us combine a variety of our skills to arrive at an end-to-end app that consists of both object detection and object recognition. We became familiar with a range of pre-trained cascade classifiers that OpenCV has to offer, and we collected and created our very own training dataset, learned about MLPs, and trained them to recognize emotional expressions in faces (well, at least my face).
The classifier undoubtedly benefited from the fact that I was the only subject in the dataset, but, with all the knowledge and experience that you have gathered throughout this book, it is now time to overcome these limitations.
After learning the techniques in this chapter, you can start with something smaller, and train the classifier on images of you (indoors and outdoors, at night and day, during summer and winter...
