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English OCR Dataset in Natural Scenes – 71,535 Images
English OCR dataset
scene text dataset
street sign text dataset
outdoor OCR dataset
image text dataset
text detection dataset
text recognition dataset
This dataset contains 71,535 English natural-scene images collected from real environments in the UK and the United States. The data diversity includes multiple scenes, multiple photographic angles and multiple light conditions. For annotation, line-level & word-leve & character-level rectangular bounding box or quadrilateral bounding box annotation were adopted, the text transcription was also adopted. This dataset is suitable for English OCR, scene text detection, and text recognition research in real-world environments.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
71,535 images, each image has a annotation file
Collecting environment
onsite collection in Britain and the United States, including shop plaque, poster, road sign, reminder, warning, packing instruction, menu, building sign, etc.
Data diversity
including multiple scenes, multiple photographic angles, multiple light conditions
Device
cellphone, camera, tablet
Photographic angle
looking up angle, looking down angle, eye-level angle
Data format
the image data format is .jpg, the annotation file format is .json
Annotation content
line-level, word-leve and character-level quadrilateral bounding box annotation and transcription
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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