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Vietnamese OCR Dataset with Annotations and Transcriptions (4,995 Images)
Vietnamese OCR dataset
Vietnamese text recognition dataset
Vietnamese OCR images
Vietnamese OCR training data
Vietnamese text detection dataset
This dataset contains 4,995 Vietnamese OCR images with annotations and text transcriptions. The data includes 258 natural scene images, 2,553 Internet images, and 2,184 document images. For line-level content annotation, quadrilateral bounding box annotations and text transcriptions are provided. For column-level content annotation, column-level quadrilateral bounding box annotation and text transcription are provided. The data can be used for tasks such as Vietnamese recognition in multiple scenes.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
4,995 OCR images, including 258 images of natural scenes, 2,553 Internet images, 2,184 document images
Collecting environment
including natural scenes (plaque, packaging instructions, small advertisements, menus, posters, etc.), Internet images (magazine covers, comic covers, etc.), document images (text documents, etc.)
Data diversity
including multiple scenes, multiple angles, different light conditions
Device
cellphone
Shooting angles
looking up angle, eye-level angle
Format
the image data format is .jpg, the annotated file format is .json
Annotation content
line-level quadrilateral bounding box annotation and transcription for the texts; column-level quadrilateral bounding box annotation and transcription for the texts
Accuracy
the error bound of each vertex of quadrilateral bounding box is within 10 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 97%; the texts transcription accuracy is not less than 97%
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.
Specifications
Sample
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