Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'Korean Travel Boards Image Dataset'
+language:
+- ko
+tags:
+- image
+- travel
+- tourism
+- signboards
+- korean
+- public-information
+- ocr
+- text-recognition
+- ai-research
+- computer-vision
+- multilingual
+task_categories:
+- image-classification
+- text-recognition
+- scene-understanding
+size_categories:
+- 1K<n<10K
+---
+
+# Korean Travel Boards Image Dataset
+*This dataset contains high-resolution images of Korean travel and tourism boards, including city maps, attraction guides, directional signs, transportation boards, and public tourism information displays. It supports OCR, multilingual translation, and computer vision research in travel-tech applications.*
+
+## 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)  
+  - Scene Understanding  
+
+- **Supported Tasks**:  
+  - Korean text detection and transcription from travel-related signs  
+  - Translation benchmarking for multilingual (Korean-English-Chinese-Japanese) tourism boards  
+  - Scene text recognition in outdoor environments  
+  - Visual understanding of travel information design and layout  
+  - AI modeling for navigation and smart tourism applications  
+
+## Languages
+
+- **Primary Language**: Korean  
+- **Secondary Presence**: English, Chinese, and Japanese (on multilingual tourism boards)  
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was developed to enable AI systems to interpret public travel-related signage and boards in Korea. It aids in building models for multilingual OCR, contextual translation, and navigation assistance for travelers, enhancing accessibility and smart tourism solutions.
+
+### Source Data
+- **Contributors**: Field photographers, tourism content collectors, and public dataset contributors  
+- **Collection Process**: Images were captured from public travel boards across airports, railway stations, tourist attractions, city centers, and cultural heritage sites. All identifiable personal information was removed before inclusion.  
+
+### Other Known Limitations
+- **Bias**: Urban and major tourist destinations may be overrepresented  
+- **Environmental Variability**: Lighting conditions, reflections, or obstructions may affect image clarity  
+- **Context Limitations**: Does not include dynamic or digital displays (e.g., airport flight info screens)  
+
+## Intended Uses
+
+### ✅ Direct Use
+- OCR and multilingual text translation research for travel signs  
+- Training computer vision models for wayfinding and navigation  
+- Cross-lingual accessibility and tourism information apps  
+- Visual design research in public signage and information systems  
+
+### ❌ Out-of-Scope Use
+- Commercial replication of signage designs without permission  
+- Geolocation inference or tracking of specific sites or individuals  
+- Misuse of public board content for unrelated commercial advertising  
+
+## License
+
+CC BY 4.0