diff --git a/deepface/detectors/MediapipeWrapper.py b/deepface/detectors/MediapipeWrapper.py
index 74cffff..5753485 100644
--- a/deepface/detectors/MediapipeWrapper.py
+++ b/deepface/detectors/MediapipeWrapper.py
@@ -19,35 +19,37 @@ def detect_face(face_detector, img, align=True):
 
     results = face_detector.process(img)
 
-    if results.detections:
-        for detection in results.detections:
+    # If no face has been detected, return an empty list
+    if results.detections is None:
+        return resp
 
-            (confidence,) = detection.score
+    # Extract the bounding box, the landmarks and the confidence score
+    for detection in results.detections:
+        (confidence,) = detection.score
 
-            bounding_box = detection.location_data.relative_bounding_box
-            landmarks = detection.location_data.relative_keypoints
+        bounding_box = detection.location_data.relative_bounding_box
+        landmarks = detection.location_data.relative_keypoints
 
-            x = int(bounding_box.xmin * img_width)
-            w = int(bounding_box.width * img_width)
-            y = int(bounding_box.ymin * img_height)
-            h = int(bounding_box.height * img_height)
+        x = int(bounding_box.xmin * img_width)
+        w = int(bounding_box.width * img_width)
+        y = int(bounding_box.ymin * img_height)
+        h = int(bounding_box.height * img_height)
 
-            right_eye = (int(landmarks[0].x * img_width), int(landmarks[0].y * img_height))
-            left_eye = (int(landmarks[1].x * img_width), int(landmarks[1].y * img_height))
-            # nose = (int(landmarks[2].x * img_width), int(landmarks[2].y * img_height))
-            # mouth = (int(landmarks[3].x * img_width), int(landmarks[3].y * img_height))
-            # right_ear = (int(landmarks[4].x * img_width), int(landmarks[4].y * img_height))
-            # left_ear = (int(landmarks[5].x * img_width), int(landmarks[5].y * img_height))
+        # Extract landmarks
+        left_eye = (int(landmarks[0].x * img_width), int(landmarks[0].y * img_height))
+        right_eye = (int(landmarks[1].x * img_width), int(landmarks[1].y * img_height))
+        # nose = (int(landmarks[2].x * img_width), int(landmarks[2].y * img_height))
+        # mouth = (int(landmarks[3].x * img_width), int(landmarks[3].y * img_height))
+        # right_ear = (int(landmarks[4].x * img_width), int(landmarks[4].y * img_height))
+        # left_ear = (int(landmarks[5].x * img_width), int(landmarks[5].y * img_height))
 
-            if x > 0 and y > 0:
-                detected_face = img[y : y + h, x : x + w]
-                img_region = [x, y, w, h]
+        if x > 0 and y > 0:
+            detected_face = img[y : y + h, x : x + w]
+            img_region = [x, y, w, h]
 
-                if align:
-                    detected_face = FaceDetector.alignment_procedure(
-                        detected_face, left_eye, right_eye
-                    )
+            if align:
+                detected_face = FaceDetector.alignment_procedure(detected_face, left_eye, right_eye)
 
-                resp.append((detected_face, img_region, confidence))
+            resp.append((detected_face, img_region, confidence))
 
     return resp