IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v9y2024i11p122-d1506343.html
   My bibliography  Save this article

Towards a Taxonomy Machine: A Training Set of 5.6 Million Arthropod Images

Author

Listed:
  • Dirk Steinke

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada
    Department of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Sujeevan Ratnasingham

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada
    Department of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Jireh Agda

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Hamzah Ait Boutou

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Isaiah C. H. Box

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Mary Boyle

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Dean Chan

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Corey Feng

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Scott C. Lowe

    (Vector Institute, Toronto, ON M5G 1M1, Canada)

  • Jaclyn T. A. McKeown

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Joschka McLeod

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Alan Sanchez

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Ian Smith

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Spencer Walker

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Catherine Y.-Y. Wei

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Paul D. N. Hebert

    (Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada
    Department of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

Abstract

The taxonomic identification of organisms from images is an active research area within the machine learning community. Current algorithms are very effective for object recognition and discrimination, but they require extensive training datasets to generate reliable assignments. This study releases 5.6 million images with representatives from 10 arthropod classes and 26 insect orders. All images were taken using a Keyence VHX-7000 Digital Microscope system with an automatic stage to permit high-resolution (4K) microphotography. Providing phenotypic data for 324,000 species derived from 48 countries, this release represents, by far, the largest dataset of standardized arthropod images. As such, this dataset is well suited for testing the efficacy of machine learning algorithms for identifying specimens into higher taxonomic categories.

Suggested Citation

  • Dirk Steinke & Sujeevan Ratnasingham & Jireh Agda & Hamzah Ait Boutou & Isaiah C. H. Box & Mary Boyle & Dean Chan & Corey Feng & Scott C. Lowe & Jaclyn T. A. McKeown & Joschka McLeod & Alan Sanchez & , 2024. "Towards a Taxonomy Machine: A Training Set of 5.6 Million Arthropod Images," Data, MDPI, vol. 9(11), pages 1-8, October.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:11:p:122-:d:1506343
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/9/11/122/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/9/11/122/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:9:y:2024:i:11:p:122-:d:1506343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.