Implement Image Colorization Model

[malhar2460]

Objective

• 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.

[akhilesh1709]

pls assign this to me

[MJakash]

Hi @malhar2460,

I am a Data Science & ML/DL enthusiast, currently working with CNNs. This issue would provide me with valuable hands-on experience, and I would be grateful if you could assign it to me.

[MJakash]

@malhar2460

[venilv912]

@MJakash Are you still working on this issue?

[MJakash]

Yes, I am working on it.

On Sat, Oct 26, 2024, 2:25 PM Venil Vekariya @.***> wrote:

@MJakash https://github.com/MJakash Are you still working on this issue?

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