Adjust figure sizes

project/README.md

@@ -52,7 +52,7 @@ In our project, we have focused on **30** specific **classes** out of the 262 av
 The original dataset lacks a predefined split into training, development (validation), and testing sets. To tailor our dataset for effective model training and evaluation, we implemented a custom script that methodically divides the dataset into specific proportions.
 
 <figure>
-<img  align="left" src="figures/dataset_split.png" alt= "Dataset Split" width="55%" height="auto">
+<img  align="left" src="figures/dataset_split.png" alt= "Dataset Split" width="45%" height="auto">
 </figure>
 
 
@@ -80,7 +80,7 @@ The data partitioning script randomly segregates the images for each fruit class
 
 The dataset is much cleaner than other fruit datasets we found on Kaggle, which often contain images of cooked food or fruit juices. 
 
-<img align="right" width="50%" height="auto" src="figures/examples_from_dataset/bananas-different-stages.png" title="test">
+<img align="right" width="60%" height="auto" src="figures/examples_from_dataset/bananas-different-stages.png" title="test">
 
 The images in the dataset depict fruits in
 - varying stages of their life cycle