Implement a model that can perform image colorization, transforming grayscale images into colorized versions using advanced deep learning techniques.
Tasks
Data Cleaning & Transformation, collecting and preprocessing a suitable dataset of grayscale and color images.
Implement any of the models listed below for image colorization based on your preference and approach.
Models:
Convolutional Neural Network (CNN)
U-Net Architecture
Generative Adversarial Network (GAN)
Autoencoder for Colorization
Hyperparameter tuning for all using GridSearchCV.
Contributors are expected to submit pull requests which satisfy the needs of each task. The objective of the issue is to implement a model for image colorization.
The task has to be done in .ipynb format in a folder Image Colorization Models.
The code should be well commented explaining the reason behind steps where necessary.
Objective
Tasks
Models:
Hyperparameter tuning for all using GridSearchCV.
Contributors are expected to submit pull requests which satisfy the needs of each task. The objective of the issue is to implement a model for image colorization.
The task has to be done in .ipynb format in a folder
Image Colorization Models
.The code should be well commented explaining the reason behind steps where necessary.