Our OCR datasets integrate multilingual, multi-font and multi-scene text image resources, professionally collected and annotated for high-precision text recognition model training. Covering printed documents, handwritten manuscripts, invoices, licenses, billboards, license plates, packaging texts and other mainstream scenarios, including blurred, inclined, reflective, complex background interference samples.
We support mainstream languages and low-resource language text data, with accurate character positioning, line segmentation and full transcription annotation. All samples are screened for validity, unified in format, and retained original layout and typesetting features to restore real application reading environment.