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15,148 Sets - Japanese and Korean Menu OCR Data

Menu Images
Japanese
Korean

15,148 Sets - Japanese and Korean Menu OCR Data, including 9,701 Japanese menus and 5,447 Korean menus, annotation content includes row level quadrilateral box annotation, row level content transcription (a small portion of data is column level quadrilateral box annotation, column level content transcription)

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data Size
15,148 sets, including 9,701 Japanese menus and 5,447 Korean menus.
Data Resolution
the total pixel count is over 900000 pixels.
Data Format
jpg and other common image format
Annotation Content
Row level quadrilateral box annotation, row level content transcription (a small portion of data is column level quadrilateral box annotation, column level content transcription)
Sample Sample
Recommended DatasetsRecommended Dataset
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What types of OCR data does Nexdata provide?

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.

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