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Adeline W's Projects

age-gender-estimation icon age-gender-estimation

Age estimation is the determination of a person’s age based on biometric features. Although age estimation can be accomplished using different biometric traits, our work is focused on facial age estimation that relies on biometric features extracted from a person’s face. In the area of computerized analysis of facial images for recognition, ethnicity classification, gender recognition, etc. the age estimation is a barely explored part. However recently the interest in this subject has significantly increased, due to its practical applications. For example there are age limitations for driving a car, buying alcohol, cigarettes, films, video games, etc. which should be obeyed, but the human skills of age estimation are very limited. So a computer system, which supports the responsible persons, would be helpful. It is well known that the human-computer interaction varies for different age groups, thus a system which automatically adapts its interface to the age of the current user would clear this problem. Face detection: To detect whether an image represent a face i.e. the general structure of face or not. General structure include forehead, eyes, nose, lips, chin etc.

caffe icon caffe

Caffe: a fast open framework for deep learning.

ece-150 icon ece-150

my solutions to ECE 150 Introduction to Programming at the University of Waterloo

face-and-gender-recognition icon face-and-gender-recognition

Uses PCA and machine learning techniques to perform facial and gender recognition on faces from the FaceScrub dataset

face-recognition icon face-recognition

Capstone Design Project - Face Recognition System using OpenCV 3.1 C++ and Dlib

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

facescrub icon facescrub

Download dataset from http://vintage.winklerbros.net/facescrub.html

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