The `detect_faces` method of the `mtcnn.mtcnn.MTCNN` class in Python is used to detect human faces within an image using the Multi-task Cascaded Convolutional Networks (MTCNN) algorithm. This method takes an input image as a parameter and returns a list of dictionaries, where each dictionary contains the coordinates of the bounding box around a detected face and the facial landmarks (such as the position of eyes, nose, and mouth) associated with the face. This method is often utilized in facial recognition, emotion analysis, and other computer vision applications.
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