Pet's Facial Expression Detection

[abckhush]

Pull Request for DL-Simplified 💡

Issue Title : #776

• Info about the related issue (Aim of the project) :
  This project is to develop an advanced image classification system that can accurately identify the facial expressions of pets using cutting-edge deep learning techniques.
• Name: Khushi Kalra
• GitHub ID: https://www.github.com/abckhush
• Email ID: [email protected]
• Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) GSSoC'24 Contributor

Closes: #776

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

This project focuses on developing a sophisticated image classification system to identify different facial expressions in pets using deep learning techniques. The system leverages three state-of-the-art convolutional neural network (CNN) architectures: EfficientNet and ResNet50, along with Vision Transformer (ViT) architecture, each known for their robustness and high performance in image recognition tasks.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• 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 models' performance was evaluated using the following metrics:

• Accuracy
• F1 Score
• Confusion Matrix
• Cross-Validation

Checklist: ☑️

• My code follows the guidelines of this project.
• 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.
• 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]

Our team will soon review your PR. Thanks @abckhush :)

[abhisheks008]

Looks good to me. Approved @abckhush