8,604 Images of Arabic Natural Scene OCR Data

Arabic OCR data

OCR content conversion

OCR data

OCR data set

OCR labeling

OCR collection

OCR data processing

OCR conversion data

8,604 Arabic 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 Arabic 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

8,604 images, 65,231 Arabic quadrilateral bounding boxes, 909 Arabic polygon bounding boxes

Collecting environment

including shop plaque, stop board, poster, road sign, comic, 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, polygon bounding box annotation and transcription for the texts

Accuracy

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%

Recommended Dataset

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

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.

Korean Hindi OCR Data Natural Scene OCR Transliteration Data

57,645 Images - Vertical OCR Data in Text Scenes

57,645 Images - Vertical OCR Data in Text Scenes. The collecting scenes of this dataset include street scenes, plaques, billboards, posters, decorations, art lettering, magazine covers etc. The language distribution includes Chinese and a few English. In this dataset, vertical -level rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts; non-vertical rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts. This dataset can be used for tasks such as multiple vertical text scenes OCR.

Vertical text scene OCR data OCR image data OCR data OCR data set OCR annotation OCR acquisition OCR data processing OCR rewriting data

262 People - 5,162 Images Handwriting OCR Data of Traditional Chinese Characters (Taiwan, China)

262 People - 5,162 Images Handwriting OCR Data of Traditional Chinese Characters (Taiwan, China). Texts in the data were annotated for the line-level quadrilateral bounding box. The handwriting ocr data can be used for traditional Chinese characters recognition application.The accuracy of line-level annotation and transcription is >= 97%.

Handwriting OCR eye-level angle line-level quadrilateral bounding box annotation and transcription for the texts traditional Chinese characters (Taiwan China) chinese ocr handwriting ocr ocr chinese OCR Training dataset Optical character recognition TextOCR Dataset Reading everyday scenes standard Chinese character Handprint Applicationrn

105,941 Images Natural Scenes OCR Data of 12 Languages

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.

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

4,995 Vietnamese OCR Images Data - Images with Annotation and Transcription

4,995 Vietnamese OCR Images Data - Images with Annotation and Transcription. The data includes 258 images of natural scenes, 2,553 Internet images, 2,184 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 Vietnamese recognition in multiple scenes.

Vietnamese 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

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.

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

14,980 Images PPT OCR Data of 8 Languages

14,980 Images PPT OCR Data of 8 Languages. This dataset includes 8 languages, multiple scenes, different photographic angles, different photographic distances, different light conditions. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as OCR of multi-language.

PPT OCR meeting room conference room different photographic angles different photographic distances different light conditions line-level quadrilateral bounding box annotation and transcription for the texts

222,289 Images – Asian OCR Data in Natural Scenes

222,289 Images – OCR Data in Natural Scenes. The collecting scenes of this dataset include indoor and outdoor scenes. The data diversity includes multiple scenes, and multiple shooting angles. For annotation, we have annotated in line-level, word-level, and character-level and well content matched text transcription included. The dataset can be used for OCR tasks in natural scenes.rn

OCR Natural scenes Line-level annotation Word-level annotation Character-level annotation Transcription for the texts