diff --git a/examples/face_detection/face_detection.py b/examples/face_detection/face_detection.py
new file mode 100644
index 000000000..3815a9d0e
--- /dev/null
+++ b/examples/face_detection/face_detection.py
@@ -0,0 +1,56 @@
+import cv2
+from insightface.app import FaceAnalysis
+
+# Initialize face analysis model
+app = FaceAnalysis(
+    name="buffalo_l", providers=["CPUExecutionProvider"]
+)  # Use 'CUDAExecutionProvider' for GPU
+app.prepare(ctx_id=-1)  # ctx_id=-1 for CPU, 0 for GPU
+
+
+def detect_faces(image_path):
+    """Detect faces in an image"""
+    img = cv2.imread(image_path)
+    if img is None:
+        raise ValueError(f"Could not read image: {image_path}")
+
+    faces = app.get(img)
+
+    if len(faces) < 1:
+        print("No faces detected")
+        return img
+
+    # Draw rectangles on detected faces
+    for face in faces:
+        x1, y1, x2, y2 = face.bbox.astype(int)
+        cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
+
+        # Add confidence score
+        confidence = face.det_score
+        cv2.putText(
+            img,
+            f"{confidence:.2f}",
+            (x1, y1 - 10),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            0.6,
+            (0, 255, 0),
+            2,
+        )
+
+    print(f"Detected {len(faces)} face(s)")
+    return img
+
+
+# Path to your image
+image_path = "path/to/image.jpg"
+
+try:
+    result = detect_faces(image_path)
+
+    # Display result
+    cv2.imshow("Face Detection", result)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+except Exception as e:
+    print(f"Error: {str(e)}")