State-of-the-art 2D and 3D Face Analysis Project
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Updated
Jun 15, 2025 - Python
State-of-the-art 2D and 3D Face Analysis Project
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
Keras implementation of a CNN network for age and gender estimation
Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis
Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Real-time estimation of gender and age
Exploring the Limits of Compact Model for Age Estimation. CVPR2019
Predict Age and Gender of people from images | Determination of gender and age
C3AE implement
Face Recognition on NIST FRVT Top Ranked, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution
Face Recognition SDK Javascript using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
[TIP] Deep Label Distribution Learning with Label Ambiguity
3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions
Decoding biological age from face photographs using deep learning.
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
A Lightweight and Efficient Method for Face Age and Gender Estimation Implemented in MXNet
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