Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'Korean Menus Image Dataset'
+language:
+- ko
+tags:
+- image
+- korean
+- menus
+- restaurant
+- text-recognition
+- ocr
+- ai-research
+- computer-vision
+- food
+- multilingual
+task_categories:
+- image-classification
+- text-recognition
+- menu-understanding
+size_categories:
+- 1K<n<10K
+---
+
+# Korean Menus Image Dataset
+*This dataset contains high-resolution images of Korean restaurant menus, including traditional, fast-food, and café menus. It has been curated and anonymized to support AI research in OCR, menu understanding, multilingual translation, and food recommendation systems.*
+
+## Contact
+For queries or collaborations related to this dataset, contact:  
+  - anoushka@kgen.io  
+  - abhishek.vadapalli@kgen.io  
+
+## Supported Tasks
+
+- **Task Categories**:  
+  - Image Classification  
+  - Text Recognition (OCR)  
+  - Menu Understanding  
+
+- **Supported Tasks**:  
+  - Text extraction from Korean menus (dish names, prices, descriptions)  
+  - Multilingual translation (Korean ↔ English/Chinese/Japanese)  
+  - Menu item classification (main dish, side dish, beverage, dessert)  
+  - Dish popularity and recommendation modeling  
+  - Visual-language model training for food-tech applications  
+
+## Languages
+
+- **Primary Language**: Korean  
+- **Secondary Presence**: English, Chinese, Japanese (on bilingual or tourist-oriented menus)  
+
+## Dataset Creation
+
+### Curation Rationale
+The dataset was developed to support AI models in understanding restaurant menus, enabling OCR, translation, and recommendation systems. It is particularly useful for tourism, accessibility, and smart dining applications.
+
+### Source Data
+- **Contributors**: Volunteer photographers, restaurant owners, and public menu collections  
+- **Collection Process**: Images were captured from printed menus, digital boards, and takeout menus. All personal or sensitive information (e.g., customer details, receipts) was removed prior to inclusion.  
+
+### Other Known Limitations
+- **Bias**: Menus are mainly urban and restaurant-focused; small local eateries may be underrepresented  
+- **Image Quality Variability**: Lighting, reflections, and handwritten menus may reduce OCR accuracy  
+- **Language Mix**: Some menus may include mixed languages or stylized fonts, which may challenge text extraction  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training OCR and menu text recognition systems  
+- Research in multilingual text extraction and translation  
+- Building AI-driven food recommendation engines  
+- Academic research in food-tech and restaurant analytics  
+
+### ❌ Out-of-Scope Use
+- Tracking or monitoring restaurants or customers  
+- Commercial use of menu content without proper attribution or permissions  
+- Misuse of restaurant branding for unrelated purposes  
+
+## License
+
+CC BY 4.0