[Project Addition] Kidney Stone Images Classification

[SayantikaLaskar]

🔴 Project Title : Kidney Stone Images Classification

🔴 Aim : The aim of this project is to classify the images given in the dataset using deep learning methods.

🔴 Dataset : https://www.kaggle.com/datasets/safurahajiheidari/kidney-stone-images

🔴 Approach : Creating models for multi-class classification task. using decision tree and random forest classsifier.

📍 Follow the Guidelines to Contribute in the Project :
You need to create a separate folder named as the Project Title.
Inside that folder, there will be four main components.

• Images - To store the required images.
• Dataset - To store the dataset or, information/source about the dataset.
• Model - To store the machine learning model you've created using the dataset.
• requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
  Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

🔴🟡 Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include issue number along with it.
Follow Contributing Guidelines & Code of Conduct before start Contributing.
✅ To be Mentioned while taking the issue :

Full name : Sayantika laskar
GitHub Profile Link :https://github.com/SayantikaLaskar
Email ID : [email protected]
Approach for this Project : Creating models for multi-class classification task. using decision tree and random forest classsifier.
What is your participant role? (Mention the Open Source program)
GSSoC 2024 Contributor
Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[SayantikaLaskar]

Hi @abhisheks008 I want to work on this issue. Please assign me this issue.

[abhisheks008]

What are models you are planning to implement here for this problem statement?
@SayantikaLaskar

[SayantikaLaskar]

I am planning to use extratree classifier, random forest and KNeighbors algorithms for the model @abhisheks008

[abhisheks008]

As this repo mainly focuses on deep learning methods, you should implement deep learning techniques rather than going with the machine learning methods.

[SayantikaLaskar]

I can work with CNN with the following dataset
https://www.kaggle.com/datasets/harshghadiya/kidneystone/code
Will it be okay? @abhisheks008

[abhisheks008]

I can work with CNN with the following dataset https://www.kaggle.com/datasets/harshghadiya/kidneystone/code Will it be okay? @abhisheks008

You need to implement 3-4 architectures for this dataset/problem statement.

[SayantikaLaskar]

Okay I am working on it. Thank you

[SayantikaLaskar]

I have done the model using CNN, VGG and resnet model. Kindly assign me the issue @abhisheks008

[abhisheks008]

I have done the model using CNN, VGG and resnet model. Kindly assign me the issue @abhisheks008

Assigned @SayantikaLaskar

[github-actions]

Hello @SayantikaLaskar! Your issue #771 has been closed. Thank you for your contribution!