104,320 Images - Korean and Hindi OCR Data in Natural Scenes

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104,320 Images - Korean and Hindi OCR Data in Natural Scenes. The collecting scenes of this dataset include packaging, posters, tickets, reminders, menus, building signs, etc.. The data diversity includes multiple scenes, multiple shooting angles and multiple light conditions. For annotation, line-level polygon bounding box (or tetragon bounding box, rectangle bounding box) annotation, transcription and text attributes (language type) for the texts; vertical-level polygon bounding box (or tetragon bounding box, rectangle bounding box) annotation, transcription and text attributes (language type) for the text. The dataset can be used for Korean and Hindi OCR tasks in natural scenes.

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Specifications

Data size: 76,861 images of Korean, 555,913 bounding boxes; 27,459 images of Hindi, 200,453 bounding boxes

Collecting environment: including packaging, posters, tickets, reminders, menus, building signs, etc.

Data diversity: multiple natural scenes, multiple shooting angles, multiple light conditions

Device: cellphone

Collecting angle: looking up angle, looking down angle, eye-level angle

Language distribution: Korean, Hindi, English (a few)

Data format: the image data format is .jpg, the annotation file format is .json

Bounding box shape distribution: 315,822 tetragon bounding boxes and 240,091 polygon bounding boxes of Korean; 780 tetragon bounding boxes, 199,671 polygon bounding boxes and 2 rectangle bounding boxes of Hindi

Annotation content: line-level polygon bounding box (or tetragon bounding box, rectangle bounding box) annotation, transcription and text attributes (language type) for the texts; vertical-level polygon bounding box (or tetragon bounding box, rectangle bounding box) annotation, transcription and text attributes (language type) for the text

Accuracy: The error bound of each vertex of a 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%.

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