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105,941 Images Natural Scenes OCR Data of 12 Languages
Japanese
Korean
Indonesian
Malay
Vietnamese
Thai
French
German
Italian
Portuguese
Russian
Spanish
OCR
natural scenes
multiple photographic angles
line-level quadrilateral bounding box annotation and transcription for the texts
105,941 Images Natural Scenes OCR Data of 12 Languages. The data covers 12 languages (6 Asian languages, 6 European languages), multiple natural scenes, multiple photographic angles. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The data can be used for tasks such as OCR of multi-language.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
105,941 images, including Asian language family: Japanese 9,997 images, Korean 10,231 images, Indonesian 7,591 images, Malay 5,650 images, Vietnamese 8,822 images, Thai 9,645 images; European language family: French 10,015 images, German 7,213 images, Italian 8,824 images, Portuguese 7,754 images, Russian 10,376 images and Spanish 9,823 images
Collecting environment
including shop plaque, stop board, poster, ticket, road sign, comic, cover picture, prompt/reminder, warning, packing instruction, menu, building sign, etc.
Diversity
including 12 languages, multiple natural scenes, multiple photographic angles (looking up angle, looking down angle, eye-level angle)
Device
cellphone, camera
Image parameter
the image data format is .jpg, and the annotation file data format is .json
Annotation content
line-level quadrilateral bounding box annotation and transcription for the texts
Accuracy
the error bound of each vertex of quadrilateral bounding box is within 5 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 97%; the texts transcription accuracy is not less than 97%
Specifications
Sample
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