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DC poleHodnotaJazyk
dc.contributor.authorPicek, Lukáš
dc.contributor.authorDurso, Andrew M.
dc.contributor.authorBolon, Isabelle
dc.contributor.authorde Castañeda, Rafael Ruiz
dc.date.accessioned2022-03-28T10:00:30Z-
dc.date.available2022-03-28T10:00:30Z-
dc.date.issued2021
dc.identifier.citationPICEK, L. DURSO, AM. BOLON, I. DE CASTAÑEDA, RR. Overview of SnakeCLEF 2021: Automatic snake species identification with country-level focus. In Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum. Bucharest: CEUR-WS, 2021. s. 1463-1476. ISBN: neuvedeno , ISSN: 1613-0073cs
dc.identifier.isbnneuvedeno
dc.identifier.issn1613-0073
dc.identifier.uri2-s2.0-85113525880
dc.identifier.urihttp://hdl.handle.net/11025/47274
dc.format14 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherCEUR-WSen
dc.relation.ispartofseriesProceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forumen
dc.rights© authorsen
dc.titleOverview of SnakeCLEF 2021: Automatic snake species identification with country-level focusen
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedA robust and accurate AI-driven system as an assistance tool for snake species identification has vast potential to help lower deaths and disabilities caused by snakebites. With that in mind, we prepared the SnakeCLEF 2021: Automatic Snake Species Identification Challenge with Country-Level Focus, designed to provide an evaluation platform that can help track the performance of end-to-end AI-driven snake species recognition systems with a focus on overall country-wise performance. We have provided 386,006 photographs of 772 snake species collected in 188 countries and country-species presence mapping for the challenge. In this paper, we report 1) a description of the provided data, 2) evaluation methodology and principles, 3) an overview of the systems submitted by the participating teams, and 4) a discussion of the obtained results.en
dc.subject.translatedBiodiversityen
dc.subject.translatedBirdsen
dc.subject.translatedConservationen
dc.subject.translatedGeographical distributionen
dc.subject.translatedHistoric preservationen
dc.subject.translatedMachine learningen
dc.subject.translatedRemote sensingen
dc.type.statusPeer-revieweden
dc.identifier.obd43933882
dc.project.IDSGS-2019-027/Inteligentní metody strojového vnímání a porozumění 4cs
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference Papers (KKY)
OBD

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