Open abhisheks008 opened 8 months ago
Hi @abhisheks008 , I'd like to work on this issue.
Full name : JEBA RACHEL NESICA GitHub Profile Link : https://github.com/Jeba-Rachel-Nesica Email ID : jebarachelnesica@gmail.com Participant ID (if applicable): Approach for this Project : SVM, Random forest, CNN (using pre-trained models like VGG) are to be used to find the best fitting one. What is your participant role? (Mention the Open Source program): GSSoC'24 Contributor
Hello is this problem statement still open, please assign this to me. I am eager to contribute to this.
Full name : Dipankar Dutta
GitHub Profile Link : https://github.com/MrPotato-00
Email ID : dipankardutta399@gmail.com
Participant ID (if applicable):
Approach for this Project : CNN ( transfer learning model like VGG16 etc can be used)
What is your participant role? Contributor
Hi @MrPotato-00 need more clarity in the approach.
First I will apply image augmentations to the image dataset. Then I will build CNN model, a VGG16 and RESNET and then tune the hyperparameters to increase the accuracy and get the best mode out of them.
Good to go. Issue assigned to you @MrPotato-00
Thanks a lot
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Muffin vs Chihuahua Detection :red_circle: Aim : The aim of this project is to detect the Muffin and Chihuahua based on the given dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/samuelcortinhas/muffin-vs-chihuahua-image-classification :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.
π Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π