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Head Pose Estimation

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

GitHub:

https://github.com/aidamohseni/head_pose_estimation_focus

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