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DECIMER—hand-drawn molecule images dataset
The translation of images of chemical structures into machine-readable representations of the depicted molecules is known as optical chemical structure recognition (OCSR). There has been a lot of progress over the last three decades in this field, but the development of systems for the recognition o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185882/ https://www.ncbi.nlm.nih.gov/pubmed/35681226 http://dx.doi.org/10.1186/s13321-022-00620-9 |
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author | Brinkhaus, Henning Otto Zielesny, Achim Steinbeck, Christoph Rajan, Kohulan |
author_facet | Brinkhaus, Henning Otto Zielesny, Achim Steinbeck, Christoph Rajan, Kohulan |
author_sort | Brinkhaus, Henning Otto |
collection | PubMed |
description | The translation of images of chemical structures into machine-readable representations of the depicted molecules is known as optical chemical structure recognition (OCSR). There has been a lot of progress over the last three decades in this field, but the development of systems for the recognition of complex hand-drawn structure depictions is still at the beginning. Currently, there is no data for the systematic evaluation of OCSR methods on hand-drawn structures available. Here we present DECIMER — Hand-drawn molecule images, a standardised, openly available benchmark dataset of 5088 hand-drawn depictions of diversely picked chemical structures. Every structure depiction in the dataset is mapped to a machine-readable representation of the underlying molecule. The dataset is openly available and published under the CC-BY 4.0 licence which applies very few limitations. We hope that it will contribute to the further development of the field. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-9185882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-91858822022-06-11 DECIMER—hand-drawn molecule images dataset Brinkhaus, Henning Otto Zielesny, Achim Steinbeck, Christoph Rajan, Kohulan J Cheminform Data Note The translation of images of chemical structures into machine-readable representations of the depicted molecules is known as optical chemical structure recognition (OCSR). There has been a lot of progress over the last three decades in this field, but the development of systems for the recognition of complex hand-drawn structure depictions is still at the beginning. Currently, there is no data for the systematic evaluation of OCSR methods on hand-drawn structures available. Here we present DECIMER — Hand-drawn molecule images, a standardised, openly available benchmark dataset of 5088 hand-drawn depictions of diversely picked chemical structures. Every structure depiction in the dataset is mapped to a machine-readable representation of the underlying molecule. The dataset is openly available and published under the CC-BY 4.0 licence which applies very few limitations. We hope that it will contribute to the further development of the field. GRAPHICAL ABSTRACT: [Image: see text] Springer International Publishing 2022-06-09 /pmc/articles/PMC9185882/ /pubmed/35681226 http://dx.doi.org/10.1186/s13321-022-00620-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Data Note Brinkhaus, Henning Otto Zielesny, Achim Steinbeck, Christoph Rajan, Kohulan DECIMER—hand-drawn molecule images dataset |
title | DECIMER—hand-drawn molecule images dataset |
title_full | DECIMER—hand-drawn molecule images dataset |
title_fullStr | DECIMER—hand-drawn molecule images dataset |
title_full_unstemmed | DECIMER—hand-drawn molecule images dataset |
title_short | DECIMER—hand-drawn molecule images dataset |
title_sort | decimer—hand-drawn molecule images dataset |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185882/ https://www.ncbi.nlm.nih.gov/pubmed/35681226 http://dx.doi.org/10.1186/s13321-022-00620-9 |
work_keys_str_mv | AT brinkhaushenningotto decimerhanddrawnmoleculeimagesdataset AT zielesnyachim decimerhanddrawnmoleculeimagesdataset AT steinbeckchristoph decimerhanddrawnmoleculeimagesdataset AT rajankohulan decimerhanddrawnmoleculeimagesdataset |