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5,156 Images - Handwritten Mathematical Formula OCR Dataset
math OCR dataset
handwritten formula dataset
mathematical formula recognition dataset
formula recognition dataset
handwritten math recognition dataset
This dataset contains 5,156 images of handwritten mathematical formulas collected under diverse writing conditions, including A4 paper, grid paper, lined paper, whiteboards, and other writing surfaces. The dataset covers various mathematical expressions, handwriting styles, paper types, and capture conditions. Images were collected from multiple viewpoints, including upward-facing and eye-level camera angles. The dataset is designed for Math OCR, handwritten formula recognition, mathematical expression recognition, and AI model training for education and document intelligence applications.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
5,156 images
Collecting environment
A4 paper, square paper, lined paper, white board, etc.
Data diversity
including multiple writing papers, multiple types of mathematical formulas, multiple photographic angles
Device
cellphone
Photographic angle
looking up angle, eye-level angle
Data format
the image data format is .jpg
Annotation content
different types of handwritten mathematical formula data were collected
Accuracy rate
according to the Collection content, the collecting accuracy is over 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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