Face2Data: Extract meaningful information from a person face in less than a second. Powered by Keras and Flask.

Code for Age progression/Regression, http://web.eecs.utk.edu/~zzhang61/docs/papers/2017_CVPR_Age.pdf

Age Estimation with PyTorch: Deep Learning for Predicting Age

Exploring Keras functional API to build a multi-output model to predict race, gender and sex on UTK Face dataset.

PyTorch Implementation of a Multi-Output Neural Network on the UTK Face Dataset to predict a person's age (range), ethnicity, and gender.

Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)

Predict age and gender of people using MobileNetsV2 and UTKFace

Attribute Inference Attack

EthnicityPredictor-UTK is a PyTorch-based project that focuses on predicting ethnicities from facial images using state-of-the-art ResNet architectures. Leveraging the UTKfaces dataset, the model is trained to recognize diverse facial features and make accurate ethnicity predictions.

An image classification model of the UTKFace data set for age, sex, and race, using a convolutional neural network!

My first AI project for estimating age and recognizing facial expressions. UTKFace and FER-2013 datasets were used as well as some popular Python libraries like OpenCV, TensorFlow, and Keras.

Age estimation via CNN network.

Facial Recognition Model for Gender and Age Identification

Age Prediction from Facial Images using Deep CNNs

Dashboard for a Deep Learning model to predict the age and gender using face images from the UTKFace dataset

A compact CNN implemented using TensorFlow for Age Estimation from Facial Images