Dataset

<b>Facial Expression Recognition Dataset</b>This dataset supports research on facial expression recognition using visible and infrared modalities. It includes data for various facial expressions from two publicly available datasets: VIRI (five expressions: angry, happy, neutral, sad, and surprised) and NVIE (three expressions: fear, disgust, and happy). The dataset has been processed and prepared for training and evaluation of machine learning models.The dataset is designed for use with deep learning frameworks like PyTorch and supports experiments in feature extraction, model evaluation, and early fusion approaches for visible and infrared modalities.For details on the methodology, preprocessing steps, and evaluation metrics, please refer to the linked GitHub repository: https://github.com/naseemmuhammadtahir/raw-data.This dataset facilitates reproducibility and exploration of advanced models for facial expression recognition tasks in diverse modalities.