---
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
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