Thus, table 1 contains the scoring results of 400 single structure images. These 400 images were randomly selected from Bucket A. For images with multiple structures, the situation is clearly less favourable. For this use case, OSRA outperformed all other AI based programs which is understandable since they were all trained on single structure images. For the multi structure prediction mode, OSRA has some in-built default limitations like the number of atoms in a single structure in such an image needs to be greater than five in order to be predicted, smaller compounds are neglected. For example in US-08680111-B2_image_702.TIF (image S2 in the supplementary material) we see 20 five-membered rings and 4 six-membered heterocyclic rings systems -from those only the 4 six-membered compounds were predicted correctly.