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DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

This repository allows to use the DAN model, a Segmentation-free Document Attention Network for Handwritten Document Recognition. Both training and inference are possible using the multiple commands exposed.

Prediction visualization

The model uses a character-level attention to handle slanted lines: Prediction visualization on slanted lines

Click here to learn more about the model and how it fares against SOTA models.

Get started with DAN now!