The latest models for DECIMER V2.0 Update V2.4 - The latest models trained on TPU V4 and uses 512 x 512 as input images - The fine-tuned model is available for hand-drawn images. - The latest models can now understand chemical structure depictions with R-Groups and predict SMILES - The model was trained on images generated using RanDepict 1.1.3 - DECIMER checkpoints also made available to use for further training - Implementation of confidence score For more details about implementation: https://github.com/Kohulan/DECIMER-Image_Transformer Original Paper: Rajan, K., Zielesny, A. & Steinbeck, C. DECIMER 1.0: deep learning for chemical image recognition using transformers. J Cheminform 13, 61 (2021). https://doi.org/10.1186/s13321-021-00538-8

{"references": ["Rajan, K., Zielesny, A. & Steinbeck, C. DECIMER 1.0: deep learning for chemical image recognition using transformers. J Cheminform 13, 61 (2021). https://doi.org/10.1186/s13321-021-00538-8"]}