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| 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. | |