Using Keras (Tensorflow), CNN and OpenCV, this model accurately identifies emotions from facial expressions in real-time video streams.

Python code to detect human facial emotion with convolution neural network(CNN) a deep learning technique using haar cascade classifier.

EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.

"Face Expression Recognition Dataset" is a dataset of facial images labeled with the corresponding emotion. This repository contains code for data exploration, analysis, and modeling using this dataset.

This project is a web-based application that uses deep learning and computer vision to detect facial emotions in real time from a webcam feed. The app is powered by a pre-trained Convolutional Neural Network (CNN) and features a modern, user-friendly interface built with Streamlit.