Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969693" target="_blank" >RIV/49777513:23520/23:43969693 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-42448-9_27" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-42448-9_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-42448-9_27" target="_blank" >10.1007/978-3-031-42448-9_27</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi

Popis výsledku v původním jazyce

Biodiversity monitoring through AI approaches is essential, as it enables the efficient analysis of vast amounts of data, providing comprehensive insights into species distribution and ecosystem health and aiding in informed conservation decisions. Species identification based on images and sounds, in particular, is invaluable for facilitating biodiversity monitoring efforts and enabling prompt conservation actions to protect threatened and endangered species. The LifeCLEF virtual lab has been promoting and evaluating advances in this domain since 2011. The 2023 edition proposes five data-oriented challenges related to the identification and prediction of biodiversity: (i),BirdCLEF: bird species recognition in long-term audio recordings (soundscapes), (ii),mbox{SnakeCLEF:} snake identification inmedically important scenarios, (iii),PlantCLEF: very large-scale plant identification, (iv),mbox{FungiCLEF:} fungi recognition beyond0-1 cost, and (v),GeoLifeCLEF: remote sensing-based prediction of species. This paper overviews the motivation, methodology, and main outcomes of that five challenges.

Název v anglickém jazyce

Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi

Popis výsledku anglicky

Biodiversity monitoring through AI approaches is essential, as it enables the efficient analysis of vast amounts of data, providing comprehensive insights into species distribution and ecosystem health and aiding in informed conservation decisions. Species identification based on images and sounds, in particular, is invaluable for facilitating biodiversity monitoring efforts and enabling prompt conservation actions to protect threatened and endangered species. The LifeCLEF virtual lab has been promoting and evaluating advances in this domain since 2011. The 2023 edition proposes five data-oriented challenges related to the identification and prediction of biodiversity: (i),BirdCLEF: bird species recognition in long-term audio recordings (soundscapes), (ii),mbox{SnakeCLEF:} snake identification inmedically important scenarios, (iii),PlantCLEF: very large-scale plant identification, (iv),mbox{FungiCLEF:} fungi recognition beyond0-1 cost, and (v),GeoLifeCLEF: remote sensing-based prediction of species. This paper overviews the motivation, methodology, and main outcomes of that five challenges.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Experimental IR Meets Multilinguality, Multimodality, and Interaction 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings

ISBN

978-3-031-42447-2

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

24

Strana od-do

416-439

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Thessaloniki, Řecko

Datum konání akce

18. 9. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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