data annotation
Developed an OCR model for reading handwritten prescriptions using the Transformer-based TrOCR architecture. The model integrates an image Transformer encoder initialized with BEiT weights and a text Transformer decoder initialized with RoBERTa weights, enabling accurate and efficient prescription recognition.