Title: Deep Learning Super Resolution on Any Image

[Soubeer]

Is your feature request related to a problem? Please describe.

This issue addresses the issue of low-resolution or damaged images lacking detail and clarity. My project focuses on deep learning super resolution techniques to upscale images into high resolutions while preserving crucial visual details. The goal is to enhance image quality for various applications like image processing and computer vision.
This issue is faced by millions of people across the world and the highest use case is with old images and damaged images in natural disasters or accidents.

I would like to take this task under GSSOC'24.

Hope I make it to your sight..

Thanks.

Describe the solution you'd like.

The solution involves implementing a deep learning-based super resolution model. This model will take low-resolution images as input and utilize advanced neural network architectures to upscale them into high-resolution outputs. By training the model on a diverse dataset of low and high-resolution image pairs, it will learn to capture and enhance important visual details, resulting in significantly improved image quality.
It will include PyTorch,CUDA ,etc along with 4 datasets to accurately train the model to perform the task.

Describe alternatives you've considered.

There is currently no alternative to my proposed task.

Add any other context or screenshots about the feature request here.

No response

[Soubeer]

@Kushal997-das can you please tell me in which folder am i supposed to include this project? i know it is supposed to be in Machine learning folder , but dont know which subfolder inside.

[Soubeer]

@Kushal997-das can you please clarify my folder problem, I cant put a PR if I dont know the location. Also this task is quite intensive for some critical sections in the code and also for computational work,can it be upgraded to level 2?

[Kushal997-das]

@Soubeer You need to understand the repo first then send the PR , based on your PR this should go under DataScience and ML read the contribution guidelines of this project . Now regarding the level we will decide the level not you.

[Soubeer]

@Kushal997-das ok i get it but which folder? basic ,intermediate ,advanced? should i do that wrt the level provided?

[Kushal997-das]

Intermediate, make sure this same project not exits in other repo in GitHub else will mark as spam.

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