This makes you familiar with the training/testing pipeline.
You can also check these demos while working with tutorials:
(No C++ programming needed)
By the end of these series of tutorials, you will learn how to build a classifier in EBLearn. That means that you can build face detectors, handwriting recognition systems, etc. The possibilities are unlimited . I recommend that you go through these tutorials in order, so that you do not need to come back a tutorial if you dont understand something.
Note: A general advice when things don't go as expected is to use the “_debug” version of the corresponding tool. For example, detect_debug rather than detect will give a good feedback of what is happening.