face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml") gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.1, 4)
There is a famous dataset in Computer Vision called the (often used with the "DeepCrack" model) used for detecting pavement cracks. face crop jet crack
In the realm of photography and video editing, cropping faces from images or videos is a technique used for various purposes. This process, commonly referred to as "face cropping," involves extracting a specific part of an image or video, typically focusing on a person's face. The reasons for doing so can range from enhancing the subject's features to removing unwanted background elements. face_cascade = cv2