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Handwriting OCR Dataset – Japanese and Korean (22,163 Images)
handwriting OCR dataset
handwritten OCR dataset
handwriting recognition dataset
Korean handwriting OCR dataset
multilingual handwriting OCR dataset
Japanese handwriting OCR dataset
This dataset contains handwritten text images collected from 100 individuals, including 50 Japanese, 49 Koreans and 1 Afghan. For different subjects, the corpus are different. The data diversity includes multiple cellphone models and different corpus. This dataset can be used for tasks such as handwriting OCR models, handwritten text recognition systems, and multilingual OCR pipelines
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
100 people, the total number of handwriting piece is 22,163, at least 159 handwriting pieces for each subject
Nationality distribution
50 Japanese, 49 Koreans and 1 Afghan
Gender distribution
males
Age distribution
the young and middle-aged people are the majorities
Data diversity
multiple cellphone models, different corpus
Device
cellphone
Data format
.json
Annotation content
text content, age, nationality, trace of handwriting
Nexdata provides OCR datasets covering a wide range of data types, including documents, handwriting, invoices, test papers, and forms. The datasets cover diverse languages, layouts, text styles, and real-world scenarios to support OCR model training, text recognition, document analysis, and other document AI applications.
Can Nexdata customize OCR datasets for specific requirements?
Yes. If our off-the-shelf OCR datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and quality control services. We can customize datasets based on target languages, document types, handwriting styles, layouts, image conditions, data volume, and annotation specifications for specific OCR applications.
How does Nexdata ensure the quality and scalability of OCR datasets?
Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. With extensive resources covering documents, handwriting, invoices, test papers, and forms, we can support both large-scale OCR projects and specialized datasets with customized formats, annotation requirements, and quality standards.