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name: DL-Simplified Issue Template
about: This is the issue template that is going to be used while creating any issues
in this repo.
title: ''
labels: ''
assignees: ''
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : AI-Powered Image Restoration and Enhancement Tool
🔴 Aim : This project aims to develop an AI-Powered Image Restoration Tool that revitalizes low-quality historical photos by upscaling, denoising, and adding realistic color.
🔴 Dataset : Pretrained model
🔴 Approach : Using advanced deep learning techniques, it transforms degraded images into vibrant, high-quality visuals while preserving their historical context. This tool is perfect for heritage conservation, family archiving, and historical documentation.
SRCNN (Super-Resolution Convolutional Neural Network): For image upscaling
DnCNN: For image denoising
Pre-trained colorization models (e.g., U-Net): For adding color to grayscale images
📍 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.
🔴🟡 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.
Approach for this Project : Using advanced deep learning techniques, it transforms degraded images into vibrant, high-quality visuals while preserving their historical context. This tool is perfect for heritage conservation, family archiving, and historical documentation.
What is your participant role? (Mention the Open Source program) - SWOC
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered:
name: DL-Simplified Issue Template
about: This is the issue template that is going to be used while creating any issues
in this repo.
title: ''
labels: ''
assignees: ''
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title :
AI-Powered Image Restoration and Enhancement Tool
🔴 Aim :
This project aims to develop an AI-Powered Image Restoration Tool that revitalizes low-quality historical photos by upscaling, denoising, and adding realistic color.
🔴 Dataset :
Pretrained model
🔴 Approach : Using advanced deep learning techniques, it transforms degraded images into vibrant, high-quality visuals while preserving their historical context. This tool is perfect for heritage conservation, family archiving, and historical documentation.
SRCNN (Super-Resolution Convolutional Neural Network): For image upscaling
DnCNN: For image denoising
Pre-trained colorization models (e.g., U-Net): For adding color to grayscale images
📍 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.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: