14,980 Images PPT OCR Data of 8 Languages

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

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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Data size

14,980 images, 8 languages

Data environment

including meeting room, conference room

Language types

French, Korean, Japanese, Spanish, German, Italian, Portuguese and Russian

Data diversity

multiple scenes, multiple languages, different photographic angles, different photographic distances, different light conditions

Device

cellphone

Collecting angles

front, left, right, looking up angle

Data format

the image data format is .jpg, the annotation file data 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 95%; the texts transcription accuracy is not less than 95%

Recommended Dataset

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

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

39,993 Images – OCR Data of Internet Image

39,993 Images – OCR Data of Internet Image. The collecting scenes of this dataset include subtitle, advertisement, cellphone screenshot, comic, emoticon, poster, magazine cover, etc. The language distribution is Chinese, English (a few). For annotation, line-level rectangular bounding box annotation and transcription for the texts were adopted for the internet images (column-level quadrilateral bounding box annotation and transcription for the texts were adopted for small amount of data). The dataset can be used for OCR tasks of internet images.

Multiple types of internet Images OCR Chinese English line-level rectangular bounding box annotation column-level rectangular bounding box annotation text transcription

71,535 Images English OCR Data in Natural Scenes

71,535 Images English OCR Data in Natural Scenes. The collecting scenes of this dataset are the real scenes in Britain and the United States. The data diversity includes multiple scenes, multiple photographic angles and multiple light conditions. For annotation, line-level & word-leve & character-level rectangular bounding box or quadrilateral bounding box annotation were adopted, the text transcription was also adopted. The dataset can be used for English OCR tasks in natural scenes.

English natural scenes OCR multiple scenes multiple photographic angles multiple light conditions line-level & word-level & character-level bounding box text transcription

10,020 Images of Arabic Natural Scene OCR Data

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.

Arabic OCR data OCR content conversion OCR data OCR data set OCR labeling OCR collection OCR data processing OCR conversion data