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dc.contributor.authorJoly, Alexis
dc.contributor.authorGoëau, Hervé
dc.contributor.authorKahl, Stefan
dc.contributor.authorPicek, Lukáš
dc.contributor.authorLorieul, Titouan
dc.contributor.authorCole, Elijah
dc.contributor.authorDeneu, Benjamin
dc.contributor.authorServajean, Maximillien
dc.contributor.authorDurso, Andrew M.
dc.contributor.authorGlotin, Hervé
dc.contributor.authorPlanqué, Robert
dc.contributor.authorVellinga, Willem-Pier
dc.contributor.authorNavine, Amanda
dc.contributor.authorKlinck, Holger
dc.contributor.authorDenton, Tom
dc.contributor.authorEggel, Ivan
dc.contributor.authorBonnet, Pierre
dc.contributor.authorŠulc, Milan
dc.contributor.authorHrúz, Marek
dc.date.accessioned2023-02-13T11:00:21Z-
dc.date.available2023-02-13T11:00:21Z-
dc.date.issued2022
dc.identifier.citationJOLY, A. GOËAU, H. KAHL, S. PICEK, L. LORIEUL, T. COLE, E. DENEU, B. SERVAJEAN, M. DURSO, AM. GLOTIN, H. PLANQUÉ, R. VELLINGA, W. NAVINE, A. KLINCK, H. DENTON, T. EGGEL, I. BONNET, P. ŠULC, M. HRÚZ, M. Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. In Experimental IR Meets Multilinguality, Multimodality, and Interaction;13th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2022;Bologna,Italy, September 58, 2022;Proceedings. Heidelberg: Springer, 2022. s. 257-285. ISBN: 978-3-031-13642-9 , ISSN: 0302-9743cs
dc.identifier.isbn978-3-031-13642-9
dc.identifier.issn0302-9743
dc.identifier.uri2-s2.0-85136990366
dc.identifier.urihttp://hdl.handle.net/11025/51467
dc.format29 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesExperimental IR Meets Multilinguality, Multimodality, and Interaction;13th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2022;Bologna,Italy, September 58, 2022;Proceedingsen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© The Author(s), under exclusive licence to Springer Nature B.V.en
dc.titleOverview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Predictionen
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedBuilding accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants, animals and fungi is hindering the aggregation of new data and knowledge. Identifying and naming living organisms is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2022 edition proposes five data-oriented challenges related to the identification and prediction of biodiversity: (i) P1antCLEF: very large-scale plant identification, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: remote sensing based prediction of species, (iv) SnakeCLEF: snake species identification on a global scale, and (v) FungiCLEF: fungi recognition as an open set classification problem. This paper overviews the motivation, methodology and main outcomes of that five challenges.en
dc.subject.translatedBiodiversity conservationen
dc.subject.translatedBiodiversity monitoringen
dc.subject.translatedGeneral publicsen
dc.subject.translatedGeographicsen
dc.subject.translatedLarge-scalesen
dc.subject.translatedLiving organismsen
dc.subject.translatedMachine-learningen
dc.subject.translatedMonitoring systemen
dc.subject.translatedSpecies distributionsen
dc.subject.translatedSpecies identificationen
dc.identifier.doi10.1007/978-3-031-13643-6_19
dc.type.statusPeer-revieweden
dc.identifier.document-number870333000019
dc.identifier.obd43937115
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference papers (NTIS)
Konferenční příspěvky / Conference Papers (KKY)
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