**************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 27MB 

Conventions:
	- dataset1/ : Dataset Version 1

Paper Links:
1) https://arxiv.org/pdf/1812.05231.pdf (IIT Delhi)
2) https://www.isical.ac.in/~vlrg/sites/default/files/Pulak/wacv2012.pdf  (ISI)
3) https://ieeexplore.ieee.org/document/9182365

Helpful reference code:
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

The Repository contains 3 notebooks:
1. Custom CNN
2. VGG16
3. RESNET152

Execution:
For RESNET152usingMonk:
1. You can directly download the ipynb file and run it on Kaggle.
2. Upload dataset with appropriate datastructure.
3. Download the uploaded .py file, according to the numbers given in the file, execute commands on Kaggle notebook.

