diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py
index 56eda44919..a006734cea 100644
--- a/frigate/data_processing/common/face/model.py
+++ b/frigate/data_processing/common/face/model.py
@@ -8,7 +8,7 @@ from scipy import stats
 
 from frigate.config import FrigateConfig
 from frigate.const import MODEL_CACHE_DIR
-from frigate.embeddings.onnx.facenet import FaceNetEmbedding
+from frigate.embeddings.onnx.facenet import ArcfaceEmbedding
 
 logger = logging.getLogger(__name__)
 
@@ -202,7 +202,7 @@ class ArcFaceRecognizer(FaceRecognizer):
     def __init__(self, config: FrigateConfig):
         super().__init__(config)
         self.mean_embs: dict[int, np.ndarray] = {}
-        self.face_embedder: FaceNetEmbedding = FaceNetEmbedding()
+        self.face_embedder: ArcfaceEmbedding = ArcfaceEmbedding()
 
     def clear(self) -> None:
         self.mean_embs = {}
diff --git a/frigate/embeddings/onnx/facenet.py b/frigate/embeddings/onnx/facenet.py
index 6c44b8f590..0d6155165d 100644
--- a/frigate/embeddings/onnx/facenet.py
+++ b/frigate/embeddings/onnx/facenet.py
@@ -16,7 +16,7 @@ logger = logging.getLogger(__name__)
 FACE_EMBEDDING_SIZE = 112
 
 
-class FaceNetEmbedding(BaseEmbedding):
+class ArcfaceEmbedding(BaseEmbedding):
     def __init__(
         self,
         device: str = "AUTO",
@@ -25,7 +25,7 @@ class FaceNetEmbedding(BaseEmbedding):
             model_name="facedet",
             model_file="facenet.onnx",
             download_urls={
-                "facenet.onnx": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/facenet.onnx",
+                "arcface.onnx": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/arcface.onnx",
             },
         )
         self.device = device