From d8e4830e4de403db33e4ce102c76a3ac5d0cb27c Mon Sep 17 00:00:00 2001
From: igraf <igraf@cl.uni-heidelberg.de>
Date: Fri, 23 Feb 2024 22:02:58 +0000
Subject: [PATCH] Update README.md

---
 project/README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/project/README.md b/project/README.md
index c74b108..1d63f20 100644
--- a/project/README.md
+++ b/project/README.md
@@ -111,8 +111,7 @@ The features we can use for training our models are always based on the **pixel
 
 In the dummy example below, there is a 3x3 pixel image. Each pixel has three values: intensity of red, green and blue (**RGB**).
 
-
-<img align="right" width="20%" height="auto" src="figures/image_features.png">
+<img align="center" width="100%" height="auto" src="figures/image_features.png">
 
 By concatenating the color values of one pixel and then concatenating the pixels, we can represent the image as a 1D vector. The length of the vector is then equal to the number of pixels in the image multiplied by 3 (RGB).
 
-- 
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