Kohulan/DECIMER-Image_Transformer
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.
GitHub repository with 414 stars and 81 forks.
Language: Python
Topics: chemical-image-recognition, decimer, deep-learning, image-data-mining, python, tensorflow, tpu, transformers