DeepFace-powered vision repo for recognition of age/gender/emotion
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Updated
Jan 13, 2026 - Python
DeepFace-powered vision repo for recognition of age/gender/emotion
This project is a Convolutional Neural Network (CNN) model built with PyTorch that predicts a person’s age group from an image. The model is trained on a Hugging Face dataset and classifies faces into age categories such as 0–10 years old, 11–20 years old, and so on.
A real-time facial analytics system that detects eye and mouth states, age, gender, and emotions using deep learning. Built with MediaPipe’s 468-point Face Mesh, OpenCV, and TensorFlow/Keras, combining landmark ratios with CNN models for multi-feature analysis.
[ICTC'24] - "Voice-Based Age and Gender Recognition: A Comparative Study of LSTM, RezoNet and Hybrid CNNs-BiLSTM Architecture" by Nhut Minh Nguyen, Thanh Trung Nguyen, Hua Hiep Nguyen, Phuong-Nam Tran, Duc Ngoc Minh Dang
IAU - implementation of ML and CNN classification. This repository is copy of the origin linked down below.
An AI model for recognizing age and gender of images.
SpeechRecognition-klasifikasi umur dengan 40 sampel suara-LinearPredictiveCoding-KNN
Webcam-Face-Age-Gender-Emotion-Detect
Fully asynchronous telegram bot for age and gender recognition based on aiogram and OpenVINO™
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
Implementation for easy Age, Gender, Ethnicity classification. Also provides face detection and face recognition using a pre-trained CNN file from dlib and OpenCV.
This repository contains the approach and code used by me, in implementing this project. This is also my final year project of my engineering curriculum.
Human Age Recognition from Facial Images (AI Challenge)
Processing people on video using OpenVINO™
A example to demonstrate the usage of JavaCV and CNN for gender and age recognition
Tensorflow/Keras small models for face recognition, ag/gender prediction from images
Human Age Recognition from Facial Images (Summer AI Challenge 2k21)
This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Let the AI detect the face(s), gender, age and face expressions on your instagram profile picture
Age recognition by single photo
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