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AI-taxonomist: integrate automatic identification tools customizable to your citizen science project needs

Authors: Ángela Justamante; Alexis Joly; Jean-Christophe Lombardo; Fabian Robert; Mathias Chouet; Sonia Liñán; karen Soacha; +1 Authors

AI-taxonomist: integrate automatic identification tools customizable to your citizen science project needs

Abstract

This service consists of a toolkit that allows citizen science platforms (or other research projects) to develop automatic identification tools adapted to their needs, e.g. for particular groups of species. The identification tool, based on machine learning, will include a search to find similar results. For instance, among photographs of species that potentially resemble the observation made by the citizen scientist. Example: A museum developing an app related to a particular group of species will be able to integrate a photo-identification tool for that species without much effort. Service developed by Inria in the Cos4Cloud framework. Infographic's designer: Lucas Wainer. More information: https://cos4cloud-eosc.eu/services/ai-taxonomist

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Keywords

AI, citizen science, citizen observatory, artificial intelligence, automatic species identification

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This is an alternative to the "Influence" indicator, which also 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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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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