The models were finetuned with 3435 figures and 1716 tables from 110 PDF articles across various publishers. All bounding boxes are manually annotated using CoCo Annotator.
TF-ID models take an image of a single paper page as the input, and return image files for all figures, schemes and tables in the given page.
We manually curated a diverse evaluation dataset consisting of 121 literature articles covering a range of topics, including
organic and inorganic chemistry, atmospheric science, batteries, materials science, metal-organic frameworks (MOFs), biology,
and science education. These PDFs, published between 1949 and 2025, include both main articles and supplementary materials.
We also additionally curated another collection of 98 literature articles (MERMaid-100) reporting novel reaction methodologies that spans
three distinct chemical domains: organic electrosynthesis, photocatalysis, and organic synthesis.
Additional performance discussion can be found from our preprint article
