A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

Face Recognition, Face Liveness Detection, Face Attribute Analysis (Age & Gender, Emotion, Demographics, Ethnicity and many more.)

HyperFace

Face Pose: Estimate pose (Yaw, Roll, Pitch) of a face using two extremely simple, efficient and accurate methods.

FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

Official Code for Paper <Transferring Rich Deep Features for Facial Beauty Prediction> (arXiv1803.07253)

Official PyTorch implementation of paper <Hierarchical Multi-task Network For Race, Gender and Facial Attractiveness Recognition> (IEEE International Conference on Image Processing (ICIP) 2019)

A cleaned version of IMDB-WIKI dataset for facial age estimation.

Official PyTorch Implementation for Paper <ComboLoss for Facial Attractiveness Analysis with Squeeze-and-Excitation Networks> (State-of-the-art Performance on 3 Popular Benchmark Dataset)

INA's library with pretrained models for gender and age prediction from faces.

let machine learning help you watching video.

Encoder-Decoder for Face Completion based on Gated Convolution

Course Project for the course CS 736

A cleaned version of IMDB-WIKI dataset for facial age estimation.

[MM 2023] Toward High Quality Facial Representation Learning

recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.

A face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.

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

Multi-task and Multi-level Feature Aggregation for Facial Expression Recognition (SOTA performance on RAF-DB)