Pix2Tex: LaTeX Equation OCR Data for Vision Transformers

Lukas Blecher's pix2tex project provides data for converting images of mathematical equations into LaTeX code using a Vision Transformer (ViT) architecture. Updated in January 2025, the repository facilitates the im2markup task specifically for scientific and mathematical notation. The data pairs visual representations of formulas with their corresponding LaTeX markup strings.

Use Cases

• Training Vision Transformer models to map image pixels to LaTeX markup strings
• Benchmarking OCR accuracy for complex mathematical symbols and structures
• Developing automated transcription tools for scientific manuscripts using LaTeX output

Strengths

• Uses Vision Transformer (ViT) architecture for image-to-text mapping
• Permissive MIT license for commercial and research use
• Actively maintained with updates as of early 2025

Limitations

• Unknown total record count and dataset size
• Lack of detailed documentation on the diversity of LaTeX packages represented
• No information on the source of the images regarding synthetic versus scanned origins

Provenance

Source

lukas-blecher (GitHub)

Freshness

Last updated January 18, 2025.