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This dataset contains 9,401 images of English-language documents, covering document types such as play scripts, books, exam papers, and other text-rich materials. The data annotations include polygonal bounding box annotations of the text (with a precision between rectangular bounding box annotations and image segmentation annotations) and transcriptions. This data can be used for English document OCR tasks.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
9,401 images, one annotation document per image, 269,725 bounding boxes totally
Data formats
the format of image data is .jpg, the format of annotation document is .json
Text contents
play script, book, exam paper
Language
English
Annotation
polygonal bounding box labeling of text (with a precision between rectangular bounding box labeling and image segmentation labeling) and transcription
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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