Muffin vs Chihuahua Detection

[MrPotato-00]

Pull Request for DL-Simplified 💡

Issue Title : Chihuahua vs Muffin

• Info about the related issue (Aim of the project) : This is to classify images into Chihuahua and Muffin
• Name: Dipankar Dutta
• GitHub ID: MrPotato-00
• Email ID: dipankardutta399@gmail.com
• Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) GSSoC'24

Closes: #465

Describe the add-ons or changes you've made 📃

This issue create a model that will classify the images into Chihuahua and Muffin. Three models are created that trains upon the images and perform the task of classification. The models that are trained are: CNN, VGG16 and ResNet50.

Type of change ☑️

What sort of change have you made:

• [ ] Bug fix (non-breaking change which fixes an issue)
• [x] New feature (non-breaking change which adds functionality)
• [ ] Code style update (formatting, local variables)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] This change requires a documentation update

How Has This Been Tested? ⚙️

The model has been tested by using custom untrained images. The images are prepared by rescaling the images and changing its target size. A function is created by passing the model into the function and passing the preprocessed image into the function. The function print the outcome it detected.

Checklist: ☑️

• [x ] My code follows the guidelines of this project.
• [x ] I have performed a self-review of my own code.
• [ ] I have commented my code, particularly wherever it was hard to understand.
• [ ] I have made corresponding changes to the documentation.
• [ ] My changes generate no new warnings.
• [ x] I have added things that prove my fix is effective or that my feature works.
• [ ] Any dependent changes have been merged and published in downstream modules.

[github-actions[bot]]

Our team will soon review your PR. Thanks @MrPotato-00 :)