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This tutorial is focused on building haar cascades for object detection using OpenCV with Python. In the previous tutorial, the process involved downloading negative images and organizing them properly. By following the provided link, users can obtain a sizable collection of negative images for use in the cascade training. It is important to ensure that the images are properly downloaded and organized to avoid issues with broken or missing images.
