3,506 Hindi OCR Images Data - Images with Annotation and Transcription

Hindi

OCR

document images

Internet images

natural scenes

multiple angles

different light conditions

quadrilateral bounding box annotation

line-level transcription for the texts

column-level transcription for the texts

3,506 Hindi OCR Images Data - Images with Annotation and Transcription. The data includes 2,056 images of natural scenes, 1,103 Internet images and 347 document images. For line-level content annotation, line-level quadrilateral bounding box annotation and test transcription was adpoted; for column-level content annotation, column-level quadrilateral bounding box annotation and text transcription was adpoted. The data can be used for tasks such as Hindi character recognition in multiple scenes.

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Specifications

Data size

3,506 OCR images, including 2,056 images of natural scenes, 1,103 Internet images, 347 document images

Collecting environment

including natural scenes (plaque, packaging instructions, small advertisements, menus, posters, etc.), Internet images (magazine covers, comic covers, etc.), document images (text documents, etc.)

Data diversity

including multiple scenes, multiple angles, different light conditions

Device

cellphone

Shooting angles

looking up angle, eye-level angle

Format

the image data format is .jpg, the annotated file format is .json

Annotation content

line-level quadrilateral bounding box annotation and transcription for the texts; column-level quadrilateral bounding box annotation and transcription for the texts

Accuracy

The error bound of each vertex of quadrilateral bounding box is within 10 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%.

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