image imagewidth (px) 461 4k	text stringclasses 3 values
	AI learns from data. Your handwriting helps machines read text better. Write clearly; good handwriting boosts AI accuracy. This small act aids AI research. Thanks for your support!
	AI learns from data. Your handwriting helps machines read text better. Write clearly; good handwriting boosts AI accuracy. This small act aids AI research. Thanks for your support!
	Levering af Motortromle
	<math display="block"> \tilde{p}_{0} \ge \left(\frac{1}{\max_{\tilde{\mu}} \mathcal{N}}\right) \|\gamma_{0}\|^{2} \left(1 - \|G_{0}(0) - \tilde{G}_{0}\| - \|\tilde{G}_{0} - \tilde{F}_{0}\| - \frac{9}{4} \sqrt{\frac{1}{\eta}} \|\|\epsilon^{(R)}\|\|\right) </math> (39)

image

imagewidth (px)

461

text

stringclasses

3 values

AI learns from data. Your handwriting helps machines read text better. Write clearly; good handwriting boosts AI accuracy. This small act aids AI research. Thanks for your support!

Levering af Motortromle

<math display="block"> \tilde{p}_{0} \ge \left(\frac{1}{\max_{\tilde{\mu}} \mathcal{N}}\right) |\gamma_{0}|^{2} \left(1 - |G_{0}(0) - \tilde{G}_{0}| - |\tilde{G}_{0} - \tilde{F}_{0}| - \frac{9}{4} \sqrt{\frac{1}{\eta}} ||\epsilon^{(R)}||\right) </math> (39)

Example Dataset for Surya OCR Finetuning

This dataset is an example that lays out the expected format for finetuning Surya OCR.

Data Requirements

Image column: The input images (full pages, blocks, or single text lines — mix freely).
Text column: The transcription corresponding to each image.
    For math content, ensure <math display="inline"></math> or <math display="block"></math> tags are wrapped around the latex

Surya OCR supports:

Various aspect ratios
Different image types and qualities
Full-page documents
Cropped blocks of text
Single-line snippets

The base surya model is trained on a wide range of samples from all these categories, and you can combine any of these types in your training dataset for more robust performance, as demonstrated in this example dataset.