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

An AI model for recognizing age and gender of images.

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 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.

Age recognition by single photo

Face detection + Age/Gender Recognition + Emotion Recognition with Python & Tensorflow

Two Keras models for child/adult & man/woman classify use speech in Python.

Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.

A simple pipeline for face extraction and its subsequent description