VideoView that plays video only when 👀 are open and 👦 is detected with various other features

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

The python code detects different landmarks on the face and predicts the emotions such as smile based on it. It automatically takes a photo of that person when he smiles. Also when the two eyebrows are lifted up, the system plays a music automatically and the music stops when you blink your right eye.

Plugin to convert from text smile to emoticons. Emoji from punctuation

Face detection and replace stikers with face, eye and lip - Face align with eyes

A repository of notebooks with cnn for identifying different emotions in different combinations

Smile Detector - using OpenCV to detect smiling faces in a video or live webcam

Smile - Emotion - Gender - Age Multi-task learning using BKNet and ResNet

A face, eyes, and smile detector using Haar-like features with OpenCV.

In this paper, we propose an architecture of Convolutional Neural Network (CNN) which can jointly learn representations for three tasks: smile detection, gender and age classification.

This is an OpenCV application for face, eyes, smile detection. It uses haarcascade provided by OpenCV

A simple face and smile detector for Raspberry Pi and Sense HAT.

In this project 4 distinct tasks (gender detection (A1), smile detection (A2), face-shape recognition (B1), eye-color recognition (B2)) are adressed following 4 different approaches and exploiting the potentialities of CNNs and HOG descriptors along with SVMs.

Smile Detection Game is a real-time web application that uses machine learning to detect smiles and count them in a 10-second game. The winner is the person who smiles the most during the game. Try it out and see who can smile the most!

How to make a Smile Detector using opencv

Smile Detection using open cv and haar cascades

A sample app to test the capabilities of Firebase MLKit in app features.

Image Style Transfer onto Real-time Smile Detected captured images

ARKit+Smile detection+Selfie