Conference and Magazine Papers of Facial Attributes Recognition With Multi-task Learning
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Updated
Jun 6, 2018
Conference and Magazine Papers of Facial Attributes Recognition With Multi-task Learning
Facial Attributes,Multi-task Learning
Code for the paper "Transfer Learning for Facial Attribute Prediction and Clustering" (iSCI 2019)
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.
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 revised DeepFace to have callback function for saving emotion inside program
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
A cleaned version of IMDB-WIKI dataset for facial age estimation.
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.
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