Code

import cv2

# Load the pre-trained model for face detection
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# Function to detect faces in an image
def detect_faces(image):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)
    return faces

# Function to draw rectangles around detected faces
def draw_faces(image, faces):
    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)

# Read the image
image = cv2.imread('face_image.jpg')

# Detect faces in the image
faces = detect_faces(image)

# Draw rectangles around the detected faces
draw_faces(image, faces)

# Display the image with detected faces
cv2.imshow('Face Recognition', image)
cv2.waitKey(0)
cv2.destroyAllWindows()