[SAMPLE] Nexdata | OCR Data | 500,000 Images| Computer Vision Data| AI & ML Training Data

1. Specifications
Data size : 500,000 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 20 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%

2. About Nexdata
Nexdata owns off-the-shelf 200,000 hours of speech recognition data, 800TB of Annotated Imagery Data, about 2 billion pieces of Natural Language Processing (NLP) Data. These ready-to-go AI & ML Training Data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/ocrTraining?source=Datarade