Imagine a scenario where we ask you to identify the location of a number plate in the image of a car. One way we have learned how to do this in the chapters on object detection is to come up with anchor box-based techniques to identify the location of the number plate. This would require us to train the model on a few hundred images before we leverage the model.
However, there is a cascade classifier that is readily available as a pre-trained file that we can use to identify the location of the number plate in an image of a car. A classifier is a cascade classifier if it consists of several simpler classifiers (stages) that are applied subsequently to a region of interest until at some stage, the candidate region is rejected or all the stages are passed. These are analogous to convolution kernels that we have learned how to use so far. Instead of having a deep neural network that learns kernels from other kernels, this is a list of kernels that have...