Updated README

README.txt

-**************INITIAL README**************
-#Change later
+**************README**************
+
+TEAM:
+Aarushi Aiyyer - 203050045
+Bhavesh Yadav - 193050052
+Khyati Oswal - 203050058
+Raj Gite - 203050092
+Smit Gangurde - 203050108
+Yavnika Bhagat - 203050041
+
+Problem Statement:
+Identify the type of Indian dance form from a dance pose image 
+Use multiple techniques to classify the images and compare them 
 
 Dataset Links:
-1) https://www.kaggle.com/somnath796/indian-dance-form-recognition   #This is version 1, 27MB 
-2) https://www.kaggle.com/parthplc/indian-dance-images/version/2     #Version 2, 232MB
+1) https://www.kaggle.com/somnath796/indian-dance-form-recognition 27MB 
 
 Conventions:
-	- dataset1/ : Dataset Version 1 (Smaller size dataset)
-	- dataset2/ : Dataset Version 2 (Larger Size dataset)
+	- dataset1/ : Dataset Version 1
 
 Paper Links:
 1) https://arxiv.org/pdf/1812.05231.pdf (IIT Delhi)
@@ -15,22 +24,17 @@ Paper Links:
 3) https://ieeexplore.ieee.org/document/9182365
 
 Helpful reference code:
-1) https://github.com/ubsingh9/identify-the-dance-form
+1)https://www.kaggle.com/singhuday/identifythedanceform/version/1
+2)https://github.com/Tessellate-Imaging/monk_v1
+3)https://clever-noyce-f9d43f.netlify.app/#/introduction
+4)https://www.youtube.com/watch?v=zFA8Cm13Xmk
+5)https://medium.com/@dtuk81/confusion-matrix-visualization-fc31e3f30fea
 
 
 Added Dataset Version 1 to Google Drive: https://drive.google.com/file/d/1zTI002FEm0BcbXlUFpLs5zvurWGnx68v/view?usp=sharing
-Added Dataset Version 2 to Google Drive: https://drive.google.com/file/d/1I29xdtdJVd7FoT7Uyw1QHafKyRzsqPzK/view?usp=sharing
-Reason: To make it easier to work on Google Colab.
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-*******THIS IS PURELY FOR CONVENIENCE, TO SETUP THE DATASET ENV IN COLAB.*******
-*******YOU DO NOT NEED TO NECESSARILY FOLLOW THIS.*******
-*******LINKS SUBJECT TO CHANGE AFTER PREPROCESSING.*******
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-RUN THE FOLLOWING IN GOOGLE COLAB TO IMPORT FOLDERS:
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-> !pip install gdown
-> !gdown --id <insert id of file here>
-#eg: !gdown --id 1I29xdtdJVd7FoT7Uyw1QHafKyRzsqPzK #for dataset2
-> !tar -zxf <tar-filename>
-> !rm <tar-filename>
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+
+The Repository contains 3 notebooks:
+1. Custom CNN
+2. VGG16
+3. RESNET152
+