Update README.md

README.md

@@ -1,3 +1,81 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'Korean Real Estate Ads Dataset'
+language:
+- ko
+tags:
+- image
+- real-estate
+- advertisement
+- korean
+- property-listings
+- text-recognition
+- ocr
+- ai-research
+- computer-vision
+- multilingual
+task_categories:
+- image-classification
+- text-recognition
+- scene-understanding
+size_categories:
+- 1K<n<10K
+---
+
+# Korean Real Estate Ads Dataset
+*This dataset contains high-resolution images of Korean real estate advertisements, including online listings, printed flyers, and billboard ads for properties such as apartments, houses, and commercial spaces. It is designed to support AI research in OCR, visual understanding, and property analysis.*
+
+## 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**:  
+  - Extraction of property information from ads (price, size, location, contact)  
+  - Classification of property types (apartment, house, commercial)  
+  - Multilingual OCR for bilingual ads (Korean-English)  
+  - Analysis of advertisement layout and design  
+  - AI research in property recommendation and market analytics  
+
+## Languages
+
+- **Primary Language**: Korean  
+- **Secondary Presence**: English (on bilingual or international property ads)  
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was created to support AI systems that can automatically read and analyze real estate advertisements in Korea. It enables research in OCR, document understanding, and property-focused computer vision models.
+
+### Source Data
+- **Contributors**: Crowdsourced online listings, field-collected flyers, and photographed billboard ads  
+- **Collection Process**: Images were captured from public sources. Personal contact details were anonymized or removed, and no private individuals were included in the images.  
+
+### Other Known Limitations
+- **Bias**: Urban properties (Seoul, Busan, Incheon) are more represented than rural or suburban listings  
+- **Visual Variability**: Differences in ad quality, lighting, and photo angles may affect text extraction  
+- **Content Scope**: Focused on property description and pricing; neighborhood or interior details may be limited  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training OCR and text-extraction models for real estate ads  
+- Property classification and market analytics research  
+- Visual-language research in advertisement layouts  
+- AI applications in property recommendation and real estate search  
+
+### ❌ Out-of-Scope Use
+- Tracking or contacting individual property owners  
+- Commercial reuse of ad content without consent or licensing  
+- Using dataset for surveillance or privacy-invading purposes  
+
+## License
+
+CC BY 4.0