From 5604fe88e54fe7dd654b53f1597517f6c21d4c67 Mon Sep 17 00:00:00 2001
From: Sefik Ilkin Serengil <serengil@gmail.com>
Date: Thu, 23 Dec 2021 17:10:12 +0300
Subject: [PATCH] tech stack illustration

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 65b2092..0691960 100644
--- a/README.md
+++ b/README.md
@@ -180,7 +180,7 @@ embedding = DeepFace.represent(img_path = "img.jpg", model_name = 'Facenet')
 
 Tech stack is vast to store vector embeddings. To determine the right tool, you should consider your task such as face verification or face recognition, priority such as speed or confidence, and also data size.
 
-<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/tech-stack.png" width="90%" height="90%"></p>
+<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/tech-stack-v2.jpg" width="90%" height="90%"></p>
 
 ## Contribution