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.
📚 Table of Contents 📝 Abstract 💡 Method and Model Changes ⚙️ Installation 🚀 Usage ✍️ Hand-drawn Model 📄 Citation 🙏 Acknowledgements 👨🔬 Author 🌐 Project Website 🏛️ Research Group 📝 Abstract The DECIMER 2.2 project tackles the OCSR (Optical Chemical Structure Recognition) challenge using cutting-edge computational intelligence methods. Our goal? To provide an automated, open-source software solution for chemical image recognition. We've supercharged DECIMER with Google's TPU (Tensor Processing Unit) to handle datasets of over 1 million images with lightning speed! 💡…
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