MolClassifier Training and Validation Datasets

The dataset contains 18626 chemical images (15720 for training and 2906 for validation) with annotated classes: Molecular Structure, Markush Structure and Background. Selected chemical images are randomly selected from the outputs of a segmentation module applied to documents from the United States Patent and Trademark Office.This dataset is part of PatCID: an open-access dataset of chemical structures in patent documents.