ihp-lab/Face-LLaVA
[WACV 2026] Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
This project helps professionals in fields like marketing, psychology, or human-computer interaction to automatically understand facial expressions and attributes from images. You provide an image containing faces, and it generates a natural language description of their expressions (e.g., happy, sad) and attributes (e.g., age, gender, beard). It's designed for researchers or practitioners who need detailed, text-based insights into facial cues for analysis or automated systems.
Use this if you need to automatically analyze facial expressions and attributes from images and receive detailed, human-readable text descriptions for reasoning or further processing.
Not ideal if you only need simple face detection or basic classification without detailed natural language output.
Stars
11
Forks
2
Language
Python
License
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Category
Last pushed
Mar 19, 2026
Commits (30d)
0
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