FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
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Updated
Apr 2, 2022 - Python
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
A cleaned version of IMDB-WIKI dataset for facial age estimation.
FacialAttributesExtractor is a Python library for precise facial attribute extraction, offering comprehensive insights into various features using OpenCV and Deep Learning. Enhance your image processing and real-time video applications with accurate analysis of age, gender, hair length, and more.
Code for the paper "Transfer Learning for Facial Attribute Prediction and Clustering" (iSCI 2019)
The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.
A cleaned version of IMDB-WIKI dataset for facial age estimation.
Facial Attributes,Multi-task Learning
Conference and Magazine Papers of Facial Attributes Recognition With Multi-task Learning
A revised DeepFace to have callback function for saving emotion inside program
On-device face recognition, liveness detection, and facial attribute analysis (age, gender, emotion) SDK for Android — FaceOnLive
Official codebase for the paper "Synthetic Data for Fairness: Bias Mitigation in Facial Attribute Recognition" (IEEE, 2025). Includes an automated pipeline for generating, labeling, and evaluating synthetic facial datasets under demographic control using SD/GAN + fairness metrics.
Real-time facial attribute estimation - apparent sex, age range and emotion - running fully offline on the CPU, with its own measured-accuracy evaluation harness.
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