Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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Updated
Jun 19, 2018 - Jupyter Notebook
Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
VideoView that plays video only when 👀 are open and 👦 is detected with various other features
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
Detects the smiling face and shows the laughing level.
A face, eyes, and smile detector using Haar-like features with OpenCV.
This is an OpenCV application for face, eyes, smile detection. It uses haarcascade provided by OpenCV
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.
Based on Face and Eye Recognition
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!
It is django based web app from where users can download machine learning projects as well as they can directly run on the website
Smile Detection using open cv and haar cascades
Smile Detector - using OpenCV to detect smiling faces in a video or live webcam
A repository of notebooks with cnn for identifying different emotions in different combinations
Python projects with OpenCV&Tkinter webcam recognition system
Practice face detection and tracking in image and video frames, isolating features such as skin or eyes with specialized techniques.
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.
Face detection and replace stikers with face, eye and lip - Face align with eyes
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