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a quick experiment reveals, there is a maximum of 200 possible detections (in this model):

>>> net = cv2.dnn.readNet("opencv_face_detector_uint8.pb", "opencv_face_detector.pbtxt")
>>> net.setInput(np.ones((1,3,300,300),np.float32))
>>> out = net.forward()
>>> out.shape
(1, 1, 200, 7)

a quick experiment reveals, there is a maximum of 200 possible detections (in this model):

>>> net = cv2.dnn.readNet("opencv_face_detector_uint8.pb", "opencv_face_detector.pbtxt")
>>> net.setInput(np.ones((1,3,300,300),np.float32))
>>> out = net.forward()
>>> out.shape
(1, 1, 200, 7)