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5,000 Turkish natural scenarios OCR data include a variety of natural scenarios and multiple shooting angles. For annotation, quadrilateral or polygon bounding box annotation and transcription for the texts were annotated in the data. This data can be used for tasks such as the Turkish language OCR.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
5,000 images, 40,793 bounding boxes
Collecting environment
including slogan, receipt, poster, warning sign, road sign, book, cover, station sign and signboard
Data diversity
including a variety of natural scenes, multiple shooting angles
Device
cellphone
Photographic angle
looking up angle, looking down angle, eye-level angle
Data format
the image format is common format such as.jpg, the annotation file format is .json
Annotation content
line-level quadrilateral bounding box annotation and transcription for the texts；polygon bounding box annotation and transcription for the texts
Accuracy rate
the error bound of each vertex of quadrilateral or polygon bounding box is within 5 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 95%; the texts transcription accuracy is not less than 95%.
Specifications
Sample
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