From eff913aff136d5b41a61b0040ca298dc5b1d1799 Mon Sep 17 00:00:00 2001
From: Sefik Ilkin Serengil <serengil@gmail.com>
Date: Fri, 20 Jan 2023 19:00:46 +0000
Subject: [PATCH] credit

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 21b34d9..029ab4c 100644
--- a/README.md
+++ b/README.md
@@ -229,7 +229,9 @@ Face recognition models are actually CNN models and they expect standard sized i
 
 The performance of RetinaFace is very satisfactory even in the crowd as seen in the following illustration. Besides, it comes with an incredible facial landmark detection performance. Highlighted red points show some facial landmarks such as eyes, nose and mouth. That's why, alignment score of RetinaFace is high as well.
 
-<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/retinaface-results.jpeg" width="90%" height="90%"></p>
+<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/retinaface-results.jpeg" width="90%" height="90%">
+<br><em>The Yellow Angels - Fenerbahce Women's Volleyball Team</em>
+</p>
 
 You can find out more about RetinaFace on this [repo](https://github.com/serengil/retinaface).