diff --git a/README.md b/README.md
index de703c5..b5c6872 100644
--- a/README.md
+++ b/README.md
@@ -8,21 +8,21 @@ Please contact 	**ykzhoua@gmail.com** or **yukun.zhou.19@ucl.ac.uk** if you have
 Keras version implemented by Yuka Kihara can be found [here](https://github.com/uw-biomedical-ml/RETFound_MAE)
 
 
-### Key features
+### 📝Key features
 
 - RETFound is pre-trained on 1.6 million retinal images with self-supervised learning
 - RETFound has been validated in multiple disease detection tasks
 - RETFound can be efficiently adapted to customised tasks
 
 
-### News
+### 🎉News
 
-- 2023/12: [Colab notebook](https://colab.research.google.com/drive/1_X19zdMegmAlqPAEY0Ao659fzzzlx2IZ?usp=sharing) is now online - free GPU & simple operation!!!
+- 🎄2023/12: [Colab notebook](https://colab.research.google.com/drive/1_X19zdMegmAlqPAEY0Ao659fzzzlx2IZ?usp=sharing) is now online - free GPU & simple operation!!!
 - 2023/09: a [visualisation demo](https://github.com/rmaphoh/RETFound_MAE/blob/main/RETFound_visualize.ipynb) is added
 - 2023/10: change the hyperparameter of [input_size](https://github.com/rmaphoh/RETFound_MAE#:~:text=finetune%20./RETFound_cfp_weights.pth%20%5C-,%2D%2Dinput_size%20224,-For%20evaluation%20only) for any image size
 
 
-### Install environment
+### 🔧Install environment
 
 1. Create environment with conda:
 
@@ -40,7 +40,7 @@ pip install -r requirement.txt
 ```
 
 
-### Fine-tuning with RETFound weights
+### 🌱Fine-tuning with RETFound weights
 
 To fine tune RETFound on your own data, follow these steps:
 
@@ -146,7 +146,7 @@ print("Model = %s" % str(model))
 ```
 
 
-### Citation
+### 📃Citation
 
 If you find this repository useful, please consider citing this paper:
 ```