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) using a custom Convolutional Neural Network (CNN). The dataset used is the Columbia Gaze dataset. The project involves the following steps:
Data Preprocessing
Feature Extraction
Creating Synthetic Labels
Training a Custom CNN Model
