diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md
index d14946eaf..f6f9b4a47 100644
--- a/docs/docs/configuration/face_recognition.md
+++ b/docs/docs/configuration/face_recognition.md
@@ -70,7 +70,7 @@ Fine-tune face recognition with these optional parameters at the global level of
 - `min_faces`: Min face recognitions for the sub label to be applied to the person object.
   - Default: `1`
 - `save_attempts`: Number of images of recognized faces to save for training.
-  - Default: `100`.
+  - Default: `200`.
 - `blur_confidence_filter`: Enables a filter that calculates how blurry the face is and adjusts the confidence based on this.
   - Default: `True`.
 - `device`: Target a specific device to run the face recognition model on (multi-GPU installation).
diff --git a/docs/docs/configuration/reference.md b/docs/docs/configuration/reference.md
index 1ec038dfb..663192c06 100644
--- a/docs/docs/configuration/reference.md
+++ b/docs/docs/configuration/reference.md
@@ -630,7 +630,7 @@ face_recognition:
   # Optional: Min face recognitions for the sub label to be applied to the person object (default: shown below)
   min_faces: 1
   # Optional: Number of images of recognized faces to save for training (default: shown below)
-  save_attempts: 100
+  save_attempts: 200
   # Optional: Apply a blur quality filter to adjust confidence based on the blur level of the image (default: shown below)
   blur_confidence_filter: True
   # Optional: Set the model size used face recognition. (default: shown below)
diff --git a/frigate/config/classification.py b/frigate/config/classification.py
index 7b12a9ccb..9f7286f8a 100644
--- a/frigate/config/classification.py
+++ b/frigate/config/classification.py
@@ -197,7 +197,7 @@ class FaceRecognitionConfig(FrigateBaseModel):
         title="Min face recognitions for the sub label to be applied to the person object.",
     )
     save_attempts: int = Field(
-        default=100, ge=0, title="Number of face attempts to save in the train tab."
+        default=200, ge=0, title="Number of face attempts to save in the train tab."
     )
     blur_confidence_filter: bool = Field(
         default=True, title="Apply blur quality filter to face confidence."