LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972984" target="_blank" >RIV/49777513:23520/24:43972984 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-56072-9_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-56072-9_3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-56072-9_3" target="_blank" >10.1007/978-3-031-56072-9_3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification

Popis výsledku v původním 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, species identification and inventory is a difficult and costly task, requiring large-scale automated approaches. The LifeCLEF lab has been promoting and evaluating advances in this domain since 2011 through the organization of multi-year challenges. The 2024 edition presented in this article proposes five data-driven challenges as a continuation of this effort: (i) BirdCLEF: bird species recognition in audio soundscapes, (ii)FungiCLEF: fungi recognition beyond 0-1 cost, (iii) GeoLifeCLEF: remote sensing based prediction of species, (iv) PlantCLEF: Multi-species identification in vegetation plot images, and (v) SnakeCLEF: snake recognition in medically important scenarios.

Název v anglickém jazyce

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification

Popis výsledku anglicky

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, species identification and inventory is a difficult and costly task, requiring large-scale automated approaches. The LifeCLEF lab has been promoting and evaluating advances in this domain since 2011 through the organization of multi-year challenges. The 2024 edition presented in this article proposes five data-driven challenges as a continuation of this effort: (i) BirdCLEF: bird species recognition in audio soundscapes, (ii)FungiCLEF: fungi recognition beyond 0-1 cost, (iii) GeoLifeCLEF: remote sensing based prediction of species, (iv) PlantCLEF: Multi-species identification in vegetation plot images, and (v) SnakeCLEF: snake recognition in medically important scenarios.

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

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Information Retrieval. Lecture Notes in Computer Science

ISBN

978-3-031-56071-2

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

9

Strana od-do

19-27

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Glasgow

Datum konání akce

24. 3. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001211836300003