fashn-AI/fashn-human-parser
Human parsing model for fashion and virtual try-on applications
This tool helps fashion designers, e-commerce managers, and virtual try-on developers automatically identify and separate different body parts and clothing items in images of people. You input an image containing a person, and it outputs a detailed map showing distinct regions for things like hair, face, top, skirt, pants, arms, and accessories. This is ideal for anyone working with digital fashion, garment fitting, or augmented reality try-on experiences.
Available on PyPI.
Use this if you need to precisely segment human figures into 18 distinct body parts and clothing categories from images, especially for fashion, retail, or AR applications.
Not ideal if you need general object segmentation or person detection without detailed body part and clothing classification.
Stars
24
Forks
4
Language
Python
License
—
Category
Last pushed
Jan 10, 2026
Commits (30d)
0
Dependencies
5
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