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128K Multilingual Scene Text OCR Dataset – 7 Languages
multilingual OCR dataset
scene text OCR dataset
OCR image dataset
polygon text detection dataset
OCR training dataset
This dataset contains 128,900 images featuring text in seven languages: Arabic, French, German, Hindi, Italian, Portuguese, and Spanish. The data covers diverse real-world scene conditions, including blurred and natural scenes, as well as challenging capture conditions such as handheld shooting and moiré patterns. Text regions are annotated with polygonal bounding boxes for precise text localization, together with corresponding text transcriptions. This dataset can be used for multilingual OCR, scene text detection, and OCR model training.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
128,900 images, one annotation document per image, 2,570,135 bounding boxes totally
Data formats
the format of image data includes .jpg and .jpeg, the format of annotation document is .json
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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