Update README.md

README.md

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 ---
-title: Detectionotfit22222
-emoji: 🏆
-colorFrom: red
-colorTo: indigo
+title: Fashion Category Classifier
+emoji: ⚡
+colorFrom: pink
+colorTo: blue
 sdk: gradio
 sdk_version: 5.45.0
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 👗 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.