Haar Cascade is a machine learning-based approach where a lot of positive and negative images are used to train the classifier. Positive images – These images contain the images which we want our classifier to identify. Negative Images – Images of everything else, which does not contain the object we want to detect. let's begin the show on time tonight at 8 PM.
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