DECIMER-Image_Transformer

DECIMER-Image_Transformer

Kohulan

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.

408 Stars
80 Forks
9 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$1.54M
Market Value
$4.79M

Growth over time

4 data points  ·  2026-07-17 → 2026-09-12
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What is the Kohulan/DECIMER-Image_Transformer GitHub project? Description: "DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone DECIMER-Image_Transformer

Clone via HTTPS

git clone https://github.com/Kohulan/DECIMER-Image_Transformer.git

Clone via SSH

[email protected]:Kohulan/DECIMER-Image_Transformer.git

Download ZIP

Download master.zip

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