From ee3d14e5ffdafef14e04e1aea67b4ce684d6453e Mon Sep 17 00:00:00 2001
From: sandeeps <sandeeps@illinois.edu>
Date: Fri, 13 Mar 2020 00:56:04 -0500
Subject: [PATCH] Update README.md

---
 README.md | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index b699ff5..0b27767 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,11 @@
 
 NimbusNet is cloud detection project powered by various state-of-the-art deep learning algorithms.
 
-## File Descriptions
+## Best Results
+
+Our best results were obtained using a Dynamic UNet model based on ResNet-18 with Self Attention and Mish activation function. We combined spectral bands 2, 26, and 32 in the form of an RGB image and used about 52,000 blocks of 64 x 64 pixels for training. The code and results of using this model are present in `Dynamic_UNet` folder.
+
+## File/Folder Descriptions
 
 1. `count_blocks.py`
 
@@ -31,5 +35,5 @@ NimbusNet is cloud detection project powered by various state-of-the-art deep le
 7. `NCSA Hackathon III`
 
     Final Presentation file
-    
-Folder `'Multi-band UNet` contains Non-dynamic UNet model base on band 2, 26 and 31, for more details check README in the folder.
\ No newline at end of file
+
+8. `Multi-band_UNet` contains Non-dynamic UNet model base on band 2, 26 and 31, for more details check README in the folder.
\ No newline at end of file
-- 
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