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A newer version of the Gradio SDK is available: 5.27.1

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metadata
title: Garment-based Segmentation
emoji: 👕
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 3.19.0
app_file: app.py
pinned: false

Garment-based Segmentation with SegFormer and Fashion-CLIP

This application uses AI models to segment specific clothing items in images by matching a garment to a person.

Features

  • Targeted Garment Segmentation: Segment only the specific garment type that matches a reference image
  • Interactive Interface: User-friendly interface with clear sections for person and garment images
  • Visualization Options: View original images, segmentation maps, and overlays

How to Use

  1. Upload an image of a person wearing clothes
  2. Upload a reference image of a garment (e.g., a t-shirt, pants, dress)
  3. Click "Process Images" to generate the targeted segmentation
  4. View the results in the gallery

Technical Details

This application combines SegFormer for image segmentation with Fashion-CLIP for garment classification to create a system that can identify and segment specific garment types in images.