Skip to content

Developed a Generative Adversarial Network (GAN) model using TensorFlow and Keras to colorize grayscale images. The project involved creating a robust dataset, designing and training the GAN architecture, and evaluating performance with metrics like SSIM, MSE, and PSNR. The model successfully generates realistic colorized images.

Notifications You must be signed in to change notification settings

akashl0007/ColorGen

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Automated-Colorization-of-Grayscale-Images

A Generator and Discriminator based colorizer which accurately colors grey scaled images without loss of quality and clarity of images.

About

Developed a Generative Adversarial Network (GAN) model using TensorFlow and Keras to colorize grayscale images. The project involved creating a robust dataset, designing and training the GAN architecture, and evaluating performance with metrics like SSIM, MSE, and PSNR. The model successfully generates realistic colorized images.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •