From 440335a23daf790eb03273d50dc3ecbcc459cb6d Mon Sep 17 00:00:00 2001
From: Sefik Ilkin Serengil <serengil@gmail.com>
Date: Tue, 6 Jul 2021 18:10:46 +0300
Subject: [PATCH] tech stack

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

diff --git a/README.md b/README.md
index bd45daa..dc5f6bd 100644
--- a/README.md
+++ b/README.md
@@ -170,7 +170,7 @@ Face recognition models represent facial images as vector embeddings. The idea b
 embedding = DeepFace.represent("img.jpg", model_name = 'Facenet')
 ```
 
-Tech stack is vast to store vector embeddings. You should consider your task such as face verification or face recognition, priority such as speed or confidence to determine the right tool.
+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>