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This tutorial builds on previous ones to create Haar cascades for object detection using OpenCV with Python. Following the steps from the last tutorial, images were downloaded and organized as negative images for training. A large number of negative images should be obtained through this process. Additionally, the tutorial notes the presence of placeholder images from Flickr when images are no longer available online.