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In this tutorial, we are continuing to build on the previous ones to create our own hora cascades for object detection using OpenCV with Python. We downloaded negative images in the last tutorial and should have a large file of around 1968 images. We need to change the link in the code to reflect these downloaded images. It is important to note that some images may appear broken, represented by a generic image.
