Furkan-Gulsen/face-classification
Computer Vision project that detects emotion, age and gender after detecting faces.
This project helps you automatically analyze human faces in real-time video or images. It takes a video feed or image as input and identifies faces, then classifies each face's emotion, age, and gender. This is useful for researchers studying human behavior, marketers analyzing audience reactions, or anyone needing to categorize people based on facial cues.
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Use this if you need to quickly and automatically determine emotions, age, and gender from faces in live video or static images.
Not ideal if you require highly precise demographic information, are working with very low-resolution or obscured faces, or need to identify specific individuals.
Stars
81
Forks
29
Language
Python
License
MIT
Category
Last pushed
Jan 09, 2022
Commits (30d)
0
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