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.
Issue Type
Feature Request
Source
GitHub (source)
DECIMER Image Transformer Version
2.3.0
OS Platform and Distribution
No response
Python version
No response
Current Behaviour?
N/A
Which images caused the issue? (This is mandatory for images related issues)
No response
Standalone code to reproduce the issue
Relevant log output
No response
Code of Conduct