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The writers are Europeans who often write French. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for tasks such as French OCR models and handwritten text recognition systems.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
1,000 people, each subject collects 14 images
Population distribution
gender distribution: 455 males, 555 females; age distribution: 10 people under 18 years old, 980 people from 18 to 45 years old, 10 people from 46 to 60 years old
Writer
Europeans who often write French
Collecting environment
pure color background
Device
scanner
Photographic angle
eye-level angle
Data format
the image data format is .png
Data content
including address, company name, personal name
Accuracy rate
the collection content 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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