The performance of the image classifier might be further enhanced by expanding the dataset, and varying the architecture of the models and hyperparameters. Moreover, there are an extensive number of images where molecules are borderline cases -in most of these cases the model can classify the content on such images as one molecule/substance (figure ). If these images are being sent to MolScribe or DECIMER, they both will recognize molecules and predict SMILES. Note, that in the example shown below DECIMER managed to predict correct SMILES, whilst MolScribe seems to be inaccurate due to the close location of the molecules on original images.