This repository contains the implementation of a project aimed at head pose estimation using a custom Convolutional Neural Network (CNN). The project utilizes the Columbia Gaze dataset, involving steps from data preprocessing, creating synthetic labels for attention and distraction, to training a custom CNN model.
This project aims to estimate head poses (attention and distraction)…
This code performs classification using a Support Vector Machine (SVM) algorithm combined with CURE-SMOTE oversampling.
It is designed to handle imbalanced datasets and evaluate the model performance through k-fold cross-validation. GitHub: https://github.com/aidamohseni/SMOTE-Enhanced-SVM-Classification-with-Stratified-K-Fold