DECIMER Image Classifier is capable of achieving high-performance metrics and is capable of working effectively on a wide range of datasets. In the ChEBI dataset, performance was slightly reduced due to the presence of images of isolated ions that were recognized as non-chemical images. None of the electron microscopy images from the EM_Images dataset has been wrongly classified as a chemical structure. Considering that the images found in PubLayNet originated from diverse sets of articles from PubMed Central, the high performance of the DECIMER Image Classifier indicates the robustness of the model. Additionally, the classifier achieved high performance when applied to real-world use cases. Since DECIMER.ai can be accessed from a mobile phone or tablet via the web browser, these tools are enabled to recognize chemical structures in the real world (Figure ): By using DECIMER.ai on a mobile device during a conference, images of chemical structures may be captured during a presentation or poster session to identify the molecules presented. With the DECIMER.ai search functionality, users can conduct a direct "single-click" PubChem database search in addition to the structure recognition to access additional chemical information.