HumynLabs/Korean_Handwritten_Notes_Dataset

1---2license: cc-by-4.03pretty_name: 'Korean Handwritten Notes Dataset'4language:5- ko6tags:7- image8- handwritten9- korean10- notes11- text-recognition12- ocr13- document-understanding14- ai-research15- computer-vision16task_categories:17- image-classification18size_categories:19- 1K<n<10K20---21 22# Korean Handwritten Notes Dataset23*This dataset contains high-resolution images of Korean handwritten notes, including personal notes, class notes, and informal writings. The dataset has been anonymized and curated to support AI research in handwriting recognition, OCR, and document understanding.*24 25## Contact26For queries or collaborations related to this dataset, contact:  27  - anoushka@kgen.io  28  - abhishek.vadapalli@kgen.io  29 30## Supported Tasks31 32- **Task Categories**:  33  - Image Classification  34  - Text Recognition (OCR)  35  - Handwriting Analysis  36 37- **Supported Tasks**:  38  - Handwriting recognition of Korean text  39  - Handwriting style classification and analysis  40  - OCR for personal and educational handwritten documents  41  - Document layout and structure recognition in handwritten notes  42  - Research in AI-driven note digitization and transcription systems  43 44## Languages45 46- **Primary Language**: Korean  47- **Secondary Presence**: Minimal English (if included in bilingual notes)  48 49## Dataset Creation50 51### Curation Rationale52The dataset was created to facilitate AI systems that can accurately read, classify, and transcribe Korean handwriting. It is particularly useful for OCR research, education technology applications, and digitization of handwritten content.53 54### Source Data55- **Contributors**: Volunteer submissions, classroom notes, and simulated handwritten samples  56- **Collection Process**: Handwritten notes were scanned or photographed. All personal identifiers, such as names or contact information, were removed prior to inclusion.  57 58### Other Known Limitations59- **Bias**: Urban and student-originated notes may be overrepresented  60- **Handwriting Variability**: Differences in penmanship, ink type, and paper quality may affect OCR performance  61- **Content Scope**: Focused on short notes; long-form essays or formal documents are underrepresented  62 63## Intended Uses64 65### ✅ Direct Use66- Training OCR and handwriting recognition models for Korean  67- Academic research in document understanding and handwriting analysis  68- Digitization of educational or personal handwritten content  69- Research in AI-assisted note-taking or transcription tools  70 71### ❌ Out-of-Scope Use72- Reconstructing personal information from submissions  73- Commercial reuse of individual handwriting styles without consent  74- Any surveillance or monitoring of individuals through handwritten content  75 76## License77 78CC BY 4.079