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hi everyone this is yml and today's video is the first part of a series that I intend to create regarding object detection in computer vision and study the classical object detection architectures starting with air CNN the first thing that I would like to clarify at the very beginning is the definition of object detection well you already probably know that machine Learning Systems especially those based on deep learning techniques are pretty damn good at classifying images however by going one step further we may be interested not only in classifying watching and images of whole but actually trying to find the dropboxes around the objects we are interested in this task known as object detection helps us in better disambiguating what happens in a more complex image where there are multiple objects of Interest as is the case in the right image here where an old lady is working three dogs which may be a pretty hard label to guess using a simple classification model the question n

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