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dc.contributor.authorJoly, Alexis
dc.contributor.authorGoëau, Hervé
dc.contributor.authorCole, Elijah
dc.contributor.authorKahl, Stefan
dc.contributor.authorPicek, Lukáš
dc.contributor.authorGlotin, Hervé
dc.contributor.authorDeneu, Benjamin
dc.contributor.authorServajean, Maximillien
dc.contributor.authorLorieul, Titouan
dc.contributor.authorVellinga, Willem-Pier
dc.contributor.authorBonnet, Pierre
dc.contributor.authorDurso, Andrew M.
dc.contributor.authorde Castañeda, Rafael Ruiz
dc.contributor.authorEggel, Ivan
dc.contributor.authorMüller, Henning
dc.date.accessioned2022-03-28T10:00:30Z-
dc.date.available2022-03-28T10:00:30Z-
dc.date.issued2021
dc.identifier.citationJOLY, A. GOËAU, H. COLE, E. KAHL, S. PICEK, L. GLOTIN, H. DENEU, B. SERVAJEAN, M. LORIEUL, T. VELLINGA, W. BONNET, P. DURSO, AM. DE CASTAÑEDA, RR. EGGEL, I. MÜLLER, H. LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges. In Advances in Information Retrieval 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part II. Cham: Springer Nature, 2021. s. 601-607. ISBN: 978-3-030-72239-5 , ISSN: 0302-9743cs
dc.identifier.isbn978-3-030-72239-5
dc.identifier.issn0302-9743
dc.identifier.uri2-s2.0-85107353373
dc.identifier.urihttp://hdl.handle.net/11025/47276
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringer Natureen
dc.relation.ispartofseriesAdvances in Information Retrieval 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part IIen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Springeren
dc.titleLifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challengesen
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 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 2021 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: image-based snake identification.en
dc.subject.translatedAIen
dc.subject.translatedBiodiversityen
dc.subject.translatedBird identificationen
dc.subject.translatedMachine learningen
dc.subject.translatedPlant identificationen
dc.subject.translatedSnake identificationen
dc.subject.translatedSpecies distribution modelen
dc.subject.translatedSpecies identificationen
dc.subject.translatedSpecies predictionen
dc.identifier.doi10.1007/978-3-030-72240-1_70
dc.type.statusPeer-revieweden
dc.identifier.obd43933884
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