What are Haar Cascades?
Haar Cascade Classifiers are an effective way of detecting objects. This method was proposed by Paul Viola and Michael Jones in their article " cascade" a href = https://www.researchgate.net/publication/3940582_Rapid_Object_Detection_using_a_Boosted_Cascade_of_Simple_Features rel = noopener target = _blank> simple functions. Haar cascade — it is a machine learning approach that uses many positive and negative images to train the classifier.
Code: Eye Detection < / p>
Code: face and eye detection
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Haar cascades can be used to detect any type of object if you have an appropriate XML file for that. You can even create your own XML files from scratch to discover any type of object you want.
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