River Images Classification of Sao Carlos using DL

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : River Images Classification of Sao Carlos using DL
:red_circle: Aim : The aim is to classify the images from the dataset using different deep learning methods.
:red_circle: Dataset : https://www.kaggle.com/datasets/caetanoranieri/river-images-at-sao-carlos
:red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

---

📍 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.

---

:red_circle::yellow_circle: 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.

---

:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Email ID :
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program)

---

Happy Contributing 🚀

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

[Nit-25]

Greetings @abhisheks008 , I would like to work on this issue.

• Full name : Nitisha Patil
• GitHub Profile Link : https://github.com/Pat25Taylor
• Email ID : nitupatil.2022@gmail.com
• Participant ID (if applicable):
• Approach for this Project: Explore river images dataset from Sao Carlos, conduct exploratory data analysis (EDA), implement and compare 3-4 deep learning algorithms for classification to determine the most accurate model.
• What is your participant role? (Mention the Open Source program) : gssoc'24

[abhisheks008]

Can you explain the models/algorithms you are planning to use here?

[akv2011]

HI @abhisheks008 can you assign me this issue my steps to solve this are

1.Exploring dataset , image dimensions, and class distributions. 2.Visualizing ht e sample images and corresponding labels to gain insights. 3.Comparing CNN, VGG, ResNet, and a custom CNN 4.Validatiing the Evaluated models on the validation set using metrics like accuracy, precision, recall, and F1-score. 5.Including visualizations (e.g., training curves, confusion matrices) to better illustration of the model performance.

[Nit-25]

@abhisheks008 I would like to use ResNet, VGGNet, MobileNet which are primarily based on the CNN architecture and compare their accuracies.

[abhisheks008]

As per the code of conduct issues will be assigned to you based on FCFS. Hence @Pat25Taylor you can start working on this issue.

@akv2011 you can check out other issues, there are lots of open issues present here in this repo.

[akv2011]

Ok Thanks

As per the code of conduct issues will be assigned to you based on FCFS. Hence @Pat25Taylor you can start working on this issue.

@akv2011 you can check out other issues, there are lots of open issues present here in this repo.

[shachi-i]

Heya @abhisheks008 can you please assign this issue to me Full name : Shachipriya Pattanayak GitHub Profile Link : https://github.com/shachi-i Email ID : pattanayakshachipriya@gmail.com Participant ID (if applicable): Approach for this Project : Perform EDA, use 3-4 different models such as CNN, ResNet, MobileNet,VGG to compare the performance and find best fitted algorithm. What is your participant role? (Mention the Open Source program) : Gssoc'24 ext

[abhisheks008]

Issue assigned to you @shachi-i