PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice. The information in this summary is taken from their Github.
Release PP-OCRv3: With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
Features
PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution PP-OCR and PP-Structure on this basis, and get through the whole process of data production, model training, compression, inference and deployment.
PP-OCR Series Model List - This model is the English ultra-lightweight PP-OCRv3 model (13.4M) on the second row.
Model introduction
Model name
Recommended scene
Detection model
Direction classifier
Recognition model
Chinese and English ultra-lightweight PP-OCRv3 model(16.2M)