dishaa09 / emotion-predictor

Emotion-Predictor

Overview

This repository contains the implementation of Emotion Prediction using ResNet, a convolutional neural network architecture known for its effectiveness in image recognition tasks. The model is trained to classify facial expressions into different emotion categories such as happy, sad, angry, etc.

Dataset

The model is trained on a dataset - the FER2013 containing facial images labeled with corresponding emotion categories. The dataset used for training, validation, and testing should be organized into appropriate directories.