Welcome to our Facial Recognition Project! This project utilizes Support Vector Machines (SVM) and Principal Component Analysis (PCA) for accurate face identification. 🤖✨
The facial recognition project is built with Python and employs the following key technologies:
- SVM for classification
- PCA for dimensionality reduction
- Labeled Faces in the Wild (LFW) dataset
- RandomizedSearchCV for hyperparameter tuning
- SVM-based facial recognition
- PCA-based dimensionality reduction
- Fine-tuned SVM hyperparameters using RandomizedSearchCV
- Visualizations: Eigenfaces, Confusion Matrix, and Predicted vs. True Faces Gallery
- Install the required dependencies:
matplotlib
,scikit-learn
- Run the Python script:
python facial_recognition_project.py
- Achieved effective facial recognition on the LFW dataset
- Demonstrated the power of SVM and PCA in real-world applications
Feel free to explore the code and customize it for your needs! Don't forget to star ⭐ the repo if you find it helpful.
Connect with me through various portals :
Social Media | Username | Link | |
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shabazuddin.198@gmail.com |
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Shabazuddin Mohammad |
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shabaz_uddin |
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Shabaz |
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shabazuddin786 |
I'm always open to collaboration and new opportunities! Feel free to reach out and connect with me. 🌟 Happy coding! 👩💻👨💻