Natural Scenes OCR Data of 12 Languages | 105,941 ImagesScenes OCR Data of 21 Countries | 500,000 Images | Computer Vision Data
Overview
Natural Scenes OCR Data of 12 Languages | 105,941 ImagesScenes OCR Data of 21 Countries | 500,000 Images | Computer Vision Data is an image dataset. The provider states a volume of 500,000 images. Typical applications include fine-tuning & instruction data, document understanding & OCR and object detection. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription and bounding boxes. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 500k images.
- Listing mentions transcription, bounding boxes.
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. Data size 105,941 images, including Asian language family: Japanese 9,997 images, Korean 10,231 images, Indonesian 7,591 images, Malay 5,650 images, Vietnamese 8,822 images, Thai 9,645 images; European language family: French 10,015 images, German 7,213 images, Italian 8,824 images, Portuguese 7,754 images, Russian 10,376 images and Spanish 9,823 images Collecting environment including shop plaque, stop board, poster, ticket, road sign, comic, cover picture, prompt/reminder, warning, packing instruction, menu, building sign, etc. Diversity including 12 languages, multiple natural scenes, multiple photographic angles (looking up angle, looking down angle, eye-level angle) Device cellphone, camera Image parameter the image data format is .jpg, and 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 97%; the texts transcription accuracy is not less than 97%
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1. Overview 1) Natural Scenes Data size : 200,000 images Language: English, French, German, Italian, Portuguese, Russian, Spanish, Japanese, Korean, Indonesian, Malay,…
- Language
- —
- Volume
- 1M images
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
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