In this part of the experiment, we used the molecule datasets based on ChEMBL and PubChem that have been described under methods in datasets. All of the images that were used for training the models in this experiment were generated by RanDepict, which generated synthetic hand-drawn images for training the models. The models were then tested on a dataset of real-world images to assess their performance. The DECIMER -Hand-drawn images dataset , was used to evaluate the models' performance. The dataset consists of 5088 chemical structure drawings sketched by 23 volunteers. The drawings reflect a wide range of drawing styles. The dataset helps us to better understand how well the model that has been exclusively trained on artificially generated training data performs on real hand-drawn chemical structure images.