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39,993 Images OCR Data, which the language distribution is Chinese and English (a few). For annotation, line-level rectangular bounding box annotation and transcription for the texts were adopted(column-level quadrilateral bounding box annotation and transcription for the texts were adopted for small amount of data). The dataset can be used for 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
39,993 images, 227,910 bounding boxes
Language distribution
Chinese, English (a few)
Data format
the image data format is .jpg, the annotation file format is .json
Annotation content
line-level rectangular bounding box annotation and transcription for the texts (column-level quadrilateral bounding box annotation and transcription for the texts were adopted for small amount of data)
Accuracy
the error bound of each vertex of a rectangular bounding box is within 5 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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