[Project Addition]: Restoration of Distorted Social Media Images

[utsabsamadder]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Restoration of Distorted Social media Images(Facial Features Only) :red_circle: Aim : I will use GAN with help of 6 hidden layers Neural network :red_circle: Dataset : I will make my own dataset from kaggle collecting various facial features like eye, ears, nose and mouth. :red_circle: Approach : The approach will be not to get the original image but to get the closest resemblance of the original image with the help of GAN and superimposing the image to enhance its quality.

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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 : Utsab Samadder
• GitHub Profile Link : https://github.com/utsabsamadder
• Email ID : utsab.sanadder@gmail.com
• 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. 😎

[github-actions[bot]]

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

[abhisheks008]

Go ahead @utsabsamadder