Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
Korean
Size:
< 1K
License:
| 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 | |