I am performing Face Detection on a set of images using the pre-trained model with haar cascades. Would it be possible to update this existing model by retraining with a set of images from my own dataset? I aim to adapt the model to the specific characteristics of the faces that my dataset might have. Is this possible and does it make sense? If not, I guess it would make sense to create a custom classifier and then use e.g both of them for detecting the faces and combining them somehow. Sorry if the question is naive, I'm a beginner in Image Processing and OpenCV.
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