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10,020 Arabic natural scenarios OCR data include a variety of natural scenarios and multiple shooting angles. In terms of labeling, the quadrilateral frames of the line -level text are transliterated by row -level text. This set of data can be used in the Arabic language country OCR mission.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
10,020 images
Collecting environment
including shop plaque, stop board, poster, ticket, road sign, comic, cover picture, prompt/reminder, warning, packing instruction, menu, building sign, magazine book covers, etc.
Data diversity
including a variety of natural scenes, multiple shooting angles
Device
cellphone, camera
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 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%
Sample
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