diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index cfa6adef1..6aa503624 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -456,14 +456,9 @@ class EmbeddingMaintainer(threading.Thread):
                 logger.debug("Detected no faces for person object.")
                 return False
 
-            margin = int((face_box[2] - face_box[0]) * 0.25)
             face_frame = person[
-                max(0, face_box[1] - margin) : min(
-                    frame.shape[0], face_box[3] + margin
-                ),
-                max(0, face_box[0] - margin) : min(
-                    frame.shape[1], face_box[2] + margin
-                ),
+                max(0, face_box[1]) : min(frame.shape[0], face_box[3]),
+                max(0, face_box[0]) : min(frame.shape[1], face_box[2]),
             ]
             face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
         else:
@@ -492,15 +487,10 @@ class EmbeddingMaintainer(threading.Thread):
                 return False
 
             face_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
-            margin = int((face_box[2] - face_box[0]) * 0.25)
 
             face_frame = face_frame[
-                max(0, face_box[1] - margin) : min(
-                    frame.shape[0], face_box[3] + margin
-                ),
-                max(0, face_box[0] - margin) : min(
-                    frame.shape[1], face_box[2] + margin
-                ),
+                max(0, face_box[1]) : min(frame.shape[0], face_box[3]),
+                max(0, face_box[0]) : min(frame.shape[1], face_box[2]),
             ]
 
         res = self.face_classifier.classify_face(face_frame)
diff --git a/frigate/util/model.py b/frigate/util/model.py
index d14f9cc47..0e990426a 100644
--- a/frigate/util/model.py
+++ b/frigate/util/model.py
@@ -309,8 +309,7 @@ class FaceClassificationModel:
         )
 
     def clear_classifier(self) -> None:
-        self.classifier = None
-        self.labeler = None
+        self.face_recognizer = None
         self.label_map = {}
 
     def detect_faces(self, input: np.ndarray) -> tuple[int, cv2.typing.MatLike] | None: