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| title: Fashion Category Classifier | |
| emoji: ⚡ | |
| colorFrom: pink | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.45.0 | |
| app_file: app.py | |
| pinned: false | |
| # 👗 Fashion Category Classifier | |
| A Hugging Face Space that uses specialized AI models to accurately classify clothing items from images. It first isolates the garment using segmentation to avoid background noise, then performs fine-grained classification using a model trained on fashion data. | |
| ## How it Works | |
| 1. **Segmentation**: The image is processed by a `SegFormer` model fine-tuned on clothing segmentation (`mattmdjaga/segformer_b2_clothes`). This model identifies and creates a precise mask around the main clothing item. | |
| 2. **Isolation**: The image is cropped to this mask, removing any distracting background. | |
| 3. **Classification**: The isolated garment is analyzed by a FashionCLIP model (`edwardjross/fashion-clip`), which compares it to a detailed list of fashion categories to find the best match. | |
| This two-step process significantly reduces "hallucinations" and improves accuracy. |