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Biodiversity Information Science and Standards :
Conference Abstract
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Conference Abstract
An Overview of Computer Vision in iNaturalist
Ken-ichi Ueda
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‡ California Academy of Sciences, San Francisco, United States of America
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Corresponding author: Ken-ichi Ueda (kueda@inaturalist.org)
Received: 29 Sep 2020 | Published: 01 Oct 2020
© 2020 Ken-ichi Ueda
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ueda K-i (2020) An Overview of Computer Vision in iNaturalist. Biodiversity Information Science and Standards 4: e59133. https://doi.org/10.3897/biss.4.59133
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Abstract
iNaturalist is a social network of people who record and share observations of biodiversity. For several years, iNaturalist has been employing computer vision models trained on iNaturalist data to provide automated species identification assistance to iNaturalist participants. This presentation offers an overview of how we are using this technology, the data and tools we used to create it, challenges we have faced in its development, and ways we might apply it in the future.
Presenting author
Ken-ichi Ueda
Presented at
TDWG 2020