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https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
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Form OCR Dataset – 9,497 Images of 10 Form Types
form OCR dataset
document form image dataset
OCR forms dataset
form recognition dataset
forms detection dataset
This dataset contains 9,497 images of 10 types of forms. Rectangular bounding boxes were adopted to annotate forms. The dataset can be used for tasks such as forms detection.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Date size
9,497 images, 10 types of forms
Collecting environment
pure color background
Data diversity
multiple types of forms
Data format
the image data format is .jpg , the annotation file format is .json
Annotation content
rectangular bounding boxes of forms
Accuracy
The error bound of each vertex of rectangular bounding box is within 5 pixels, which is a qualified annotation, the accuracy of rectangular bounding boxes is not less than 95%
![Sample]()
Sample
Tell Us Your Special Needs
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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Specifications
Sample
