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Other ORP type . 2023
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Other ORP type . 2023
License: CC BY
Data sources: Datacite
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Other ORP type . 2023
License: CC BY
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GBIF-DL: Create a training set on a particular group of living organisms for machine learning applications

appsOther research productkeyboard_double_arrow_right Other ORP type 20 Feb 2023 English Publisher:ZenodoFunded by:EC | COS4CLOUD
Authors: Ángela Justamante; Alexis Joly; Jean-Christophe Lombardo; Fabian Robert; Mathias Chouet; Sonia Liñán; karen Soacha; +1 Authors

doi: 10.5281/zenodo.7657639 , 10.5281/zenodo.7657640

GBIF-DL: Create a training set on a particular group of living organisms for machine learning applications

Abstract

GBIF-DL is a service that allows users to create a training set on a particular group of living organisms on-demand, i.e. allowing them to solicit specific data, such as images of specific species and/or specific platforms, or images with a sufficient quality of expert validation. For example: A data scientist or a developer who wants to train an artificial intelligence model on a particular group of species using pytorch software will be able to do it very easily. More information: https://cos4cloud-eosc.eu/services/gbif-dl/ This service has been developed by Inria in the Cos4Cloud project framework. Infographic's designer: Lucas Wainer.

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Keywords

citizen observatories, AI, citizen science, deep learning, training set, automatic species recognition, artificial intelligence, biodiversity

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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