/Using-GAN-for-Fashion

This is a group project.The main objective of this project is to perform Classification of dress and generation of new dress. Our project consists of 2 modules, the first being the classification of clothes based on pattern on the dress and the second is the generation of garments

Primary LanguageJupyter Notebook

GAN Dresses

Welcome to the GAN Dresses project! This is a group project for an undergraduate major project, in which we aim to use generative adversarial networks (GANs) in artificial intelligence (AI) to create new and unique dresses.

Team members

  1. Vanama Yaswanth
  2. Sneh singh
  3. Vidhi Mathur

Project tasks

In order to divide the work equally among team members and ensure that the project is completed on time, we have divided the tasks into the following categories:

Data collection and preparation

Gather a diverse dataset of dress images

Preprocess the images to ensure they are suitable for training

Split the dataset into training and validation sets

GAN development and training

Design the GAN architecture

Train the GAN on the dataset

Fine-tune the GAN to improve results

Evaluation and testing

Evaluate the quality of the generated dresses using appropriate metrics

Test the GAN on a hold-out test set

Identify any potential issues or improvements that can be made

Documentation and presentation

Write a detailed report on the project Create a presentation to showcase the results of the project Write clear and concise documentation for the project code

How to contribute

If you would like to contribute to this project, please follow these steps:

Clone the repository to your local machine: git clone

Create a new branch for your changes: git checkout -b my-changes

Make your changes and commit them: git commit -am "added new feature"

Push your changes to the remote repository: git push origin my-changes

Submit a pull request for your changes to be reviewed and merged