Title:	Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction
Authors:	Joly, Alexis Goëau, Hervé Kahl, Stefan Picek, Lukáš Lorieul, Titouan Cole, Elijah Deneu, Benjamin Servajean, Maximillien Durso, Andrew Bolon, Isabelle Glotin, Hervé Planqué, Robert de Castañeda, Rafael Ruiz Vellinga, Willem-Pier Klinck, Holger Denton, Tom Eggel, Ivan Bonnet, Pierre Müller, Henning
Citation:	JOLY, A. GOËAU, H. KAHL, S. PICEK, L. LORIEUL, T. COLE, E. DENEU, B. SERVAJEAN, M. DURSO, A. BOLON, I. GLOTIN, H. PLANQUÉ, R. DE CASTAÑEDA, RR. VELLINGA, W. KLINCK, H. DENTON, T. EGGEL, I. BONNET, P. MÜLLER, H. Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. In Experimental IR Meets Multilinguality, Multimodality, and Interaction 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings. Cham: Springer Nature, 2021. s. 371-393. ISBN: 978-3-030-85250-4 , ISSN: 0302-9743
Issue Date:	2021
Publisher:	Springer Nature
Document type:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85115882091 http://hdl.handle.net/11025/47275
ISBN:	978-3-030-85250-4
ISSN:	0302-9743
Keywords in different language:	Biodiversity conservation;Biodiversity monitoring;Bird species;Cross-domain;General publics;Machine-learning;Monitoring system;Plant identification;Species distributions;Species identification;Forecasting
Abstract in different language:	Building 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 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: remote sensing based prediction of species, and (iv) SnakeCLEF: Automatic Snake Species Identification with Country-Level Focus.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © Springer
Appears in Collections:	Konferenční příspěvky / Conference Papers (KKY) OBD

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