Facial Expression Recognition Using CNN and Haar-Cascade
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Updated
Nov 10, 2020 - Jupyter Notebook
Facial Expression Recognition Using CNN and Haar-Cascade
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.
This repo contains, training material, dlib implementation, tensorflow implementation and an own made complete system implementation with a parse-controller.
Face expression detection using flask
an android camera app that leverages the power of CameraX library and Firebase ML Kit. The app offers a seamless user experience, allowing users to capture images and accurately detect and analyze facial expressions in real-time.
This project is the implementation of the paper "ExpresSense: Exploring a Standalone Smartphone to Sense Engagement of Users from Facial Expressions Using Acoustic Sensing", which has been accepted to CHI 2023
Detecting emotions of a person in real-time using deep learning. This project was made using Tensorflow and OpenCV.
Multi-pose and Multi-expression Face Dataset
Emojify is a fun app that turns your face in a selfie into an appropriate emoji based on your facial expression!
Human sentiment detection
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