From c9f06d8f5bd3e256073d61ed9f55ef216db34c9d Mon Sep 17 00:00:00 2001
From: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Date: Sun, 11 May 2025 07:01:43 -0500
Subject: [PATCH] face rec overfitting instructions

---
 docs/docs/configuration/face_recognition.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md
index bd97b394c..84f562a01 100644
--- a/docs/docs/configuration/face_recognition.md
+++ b/docs/docs/configuration/face_recognition.md
@@ -137,6 +137,8 @@ This can happen for a few different reasons, but this is usually an indicator th
 - When you provide images with different poses, lighting, and expressions, the algorithm extracts features that are consistent across those variations.
 - By training on a diverse set of images, the algorithm becomes less sensitive to minor variations and noise in the input image.
 
+Go back through the face collections and remove over-fitted images. Then, reprocess your face attempts with the Reprocess button on each face in the Train tab to see how it affects the score.
+
 ### I see scores above the threshold in the train tab, but a sub label wasn't assigned?
 
 The Frigate considers the recognition scores across all recognition attempts for each person object. The scores are continually weighted based on the area of the face, and a sub label will only be assigned to person if a person is confidently recognized consistently. This avoids cases where a single high confidence recognition would throw off the results.