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dc.contributor.authorJoly, Alexis
dc.contributor.authorGoëau, Hervé
dc.contributor.authorKahl, Stefan
dc.contributor.authorDeneu, Benjamin
dc.contributor.authorServajean, Maximillien
dc.contributor.authorCole, Elijah
dc.contributor.authorPicek, Lukáš
dc.contributor.authorde Castañeda, Rafael Ruiz
dc.contributor.authorBolon, Isabelle
dc.contributor.authorDurso, Andrew
dc.contributor.authorLorieul, Titouan
dc.contributor.authorBotella, Christophe
dc.contributor.authorGlotin, Hervé
dc.contributor.authorChamp, Julien
dc.contributor.authorEggel, Ivan
dc.contributor.authorVellinga, Willem-Pier
dc.contributor.authorBonnet, Pierre
dc.contributor.authorMüller, Henning
dc.date.accessioned2021-03-15T11:00:29Z-
dc.date.available2021-03-15T11:00:29Z-
dc.date.issued2020
dc.identifier.citationJOLY, A. GOËAU, H. KAHL, S. DENEU, B. SERVAJEAN, M. COLE, E. PICEK, L. DE CASTAÑEDA, RR. BOLON, I. DURSO, A. LORIEUL, T. BOTELLA, Ch. GLOTIN, H. CHAMP, J. EGGEL, I. VELLINGA, W. BONNET, P. MÜLLER, H.Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020, Proceedings. Cham: Springer, 2020. s. 342-363. ISBN 978-3-030-58218-0, ISSN 0302-9743.cs
dc.identifier.isbn978-3-030-58218-0
dc.identifier.issn0302-9743
dc.identifier.uri2-s2.0-85092127389
dc.identifier.urihttp://hdl.handle.net/11025/42938
dc.format22 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesExperimental IR Meets Multilinguality, Multimodality, and Interaction 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020, Proceedingsen
dc.rights© Springeren
dc.titleOverview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Predictionen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
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 and animals in the field is hindering the aggregation of new data and knowledge. Identifying and naming living plants or animals 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 2020 edition proposes four data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: cross-domain plant identification based on herbarium sheets (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: location-based prediction of species based on environmental and occurrence data, and (iv) SnakeCLEF: snake identification based on image and geographic location.en
dc.subject.translatedbiodiversity, machine learning, AI, species identification ,plant identification, bird identification,species distribution mode,snake identification.en
dc.identifier.doi10.1007/978-3-030-58219-7_23
dc.type.statusPeer-revieweden
dc.identifier.obd43930885
dc.project.IDLO1506/PUNTIS - Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnostcs
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference papers (NTIS)
Konferenční příspěvky / Conference Papers (KKY)
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