Title:	Overview of LifeCLEF 2022: 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 M. Glotin, Hervé Planqué, Robert Vellinga, Willem-Pier Navine, Amanda Klinck, Holger Denton, Tom Eggel, Ivan Bonnet, Pierre Šulc, Milan Hrúz, Marek
Citation:	JOLY, 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: 0302-9743
Issue Date:	2022
Publisher:	Springer
Document type:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85136990366 http://hdl.handle.net/11025/51467
ISBN:	978-3-031-13642-9
ISSN:	0302-9743
Keywords in different language:	Biodiversity conservation;Biodiversity monitoring;General publics;Geographics;Large-scales;Living organisms;Machine-learning;Monitoring system;Species distributions;Species identification
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, 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.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © The Author(s), under exclusive licence to Springer Nature B.V.
Appears in Collections:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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