Název:	LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction
Autoři:	Joly, Alexis Goëau, Hervé Kahl, Stefan Picek, Lukáš Lorieul, Titouan Cole, Elijah Deneu, Benjamin Servajean, Maximillien Durso, Andrew M. Bolon, Isabelle Glotin, Hervé Planqué, Robert Vellinga, Willem-Pier Klinck, Holger Denton, Tom Eggel, Ivan Bonnet, Pierre Müller, Henning Šulc, Milan
Citace zdrojového dokumentu:	JOLY, A. GOËAU, H. KAHL, S. PICEK, L. LORIEUL, T. COLE, E. DENEU, B. SERVAJEAN, M. DURSO, AM. BOLON, I. GLOTIN, H. PLANQUÉ, R. VELLINGA, W. KLINCK, H. DENTON, T. EGGEL, I. BONNET, P. MÜLLER, H. ŠULC, M. LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. In Advances in Information Retrieval Book : 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II. Cham: Springer, 2022. s. 390-399. ISBN: 978-3-030-99738-0 , ISSN: 0302-9743
Datum vydání:	2022
Nakladatel:	Springer
Typ dokumentu:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85128722595 http://hdl.handle.net/11025/50933
ISBN:	978-3-030-99738-0
ISSN:	0302-9743
Klíčová slova v dalším jazyce:	AI;Biodiversity;Bird identification;Machine learning;Plant identification;Snake identification;Species distribution model;Species identification;Species prediction
Abstrakt v dalším jazyce:	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) PlantCLEF: 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 in Medically Important scenarios, and (v) FungiCLEF: Fungi recognition from images and metadata.
Práva:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © The Author(s), under exclusive license to Springer Nature Switzerland AG
Vyskytuje se v kolekcích:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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