nish-cv/Emotion_Detection_CNN

Project leverages deep learning models to detect emotions from facial expressions using the FER-2013 dataset. It includes comprehensive preprocessing steps and compares the performance of custom CNN, ResNet, and VGG models. Implemented with Python and PyTorch, the project focuses on model training and evaluation based on accuracy and loss metrics.

Jupyter Notebook