weblineindia/AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
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.
This program helps you automatically analyze human faces in images. You provide an image containing one or more faces, and it outputs a detailed report of 40 facial attributes (like 'Smiling' or 'Eyeglasses'), along with detected emotion, age range, and gender for each person. This tool is ideal for researchers, marketers, or anyone needing to categorize facial characteristics from visual data.
131 stars. No commits in the last 6 months.
Use this if you need to quickly and automatically extract a wide range of facial attributes, emotions, age, and gender from images.
Not ideal if you need a high degree of certainty for sensitive applications, or if you are looking for real-time video analysis.
Stars
131
Forks
27
Language
Python
License
MIT
Category
Last pushed
Sep 22, 2020
Commits (30d)
0
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