This repository contains the implementation of a face recognition system developed as part of a university course on Computer Vision and Pattern Recognition. Leveraging AlexNet, a pre-trained convolutional neural network, the system identifies and classifies faces with high accuracy.
Deep Learning Model: Utilizes AlexNet for feature extraction and classification.
Dataset Handling: Preprocessed dataset for face images.
Training and Testing: Model training, evaluation, and performance metrics included.
Customizable Codebase: Easily adaptable for different datasets and applications.
Personal identification systems.
Security and surveillance systems.
Human-computer interaction.
Feel free to contribute or use this repository for educational purposes. 😊