Face Verification Model

[binguliki]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Face Verification Model Using Siamese Neural Network
:red_circle: Aim : To develop a Siamese neural network trained over triplet loss function for face verification task
:red_circle: Dataset : LFW dataset
:red_circle: Approach : Use LFW dataset to generate triplets for training the model and develop a siamese neural network architecture which would be used in Facial verification task

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📍 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.

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: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.

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: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)

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Happy Contributing 🚀

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

[binguliki]

Hey 👋 @abhisheks008 , Please can you assign this issue to me as i'm currently working on this project and also do provide the GSSoC24 tag for my contribution to be counted.

• Full name : Bingumalla Likith
• GitHub Profile Link : binguliki
• Email ID : blikith86@gmail.com
• Participant ID (if applicable): NA
• Approach for this Project : I would be Using a transfer learning and structure my Siamese model for better results
• What is your participant role? GSSoC24 | Contributor

[binguliki]

@abhisheks008 Hey 👋 Bro , Can you please check this out !!

[abhisheks008]

Can you use at least 2-3 deep learning models for this dataset, and compare them on the accuracy scores to find out the best fitted model for this dataset?

[binguliki]

@abhisheks008 Sure bro i'll compare different architectures like InceptionResnet , VGG19 , Mobilenet etc perfomances and give the best results👍🏻 . I eagerly want to contribute and become a part of the community . Can you assign me the Project

[abhisheks008]

Siamese

Don't forget to add Siamese.

Issue assigned to you @binguliki

[utsabsamadder]

@abhisheks008 I would like to work on this as well. I propose to use YOLO which is much faster than Neural Network and for give a better result collectively. Please assign me to this for GSSoC'24.

[abhisheks008]

As per the code of conduct of the repository, only one contributor can work on one issue at a time.