This is an official pytorch implementation of 'Effective Presentation Attack Detection Driven by Face Related Task'
Face Expression Recognition with ensemble for InceptionV3, ResNet50, MobileNetV2
HEY-I (HElp Your Interview)
Multi-race 7 Expressions Recognition Dataset
This repository contains a Python application for emotion recognition using facial expressions. The application utilizes computer vision techniques and deep learning models to analyze facial expressions , aiming to detect and classify emotions based on input images or video streams.
TensorFlow Keras Sequential API implementation of a convolutional neural network to classify a face image as happy (smiling) or not
Detecting head orientation (Euler's angles), lips opening, face expression and bouding box size. Construct a decoder with these data.
This project implements a deep learning-based facial expression recognition system using the FER2013 dataset, addressing class imbalance through sampling strategies, enhancing accuracy with MTCNN-based face alignment, and enabling real-time inference via ONNX models.
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