LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Information Retrieval. Lecture Notes in Computer Science
ISBN
978-3-031-56071-2
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
9
Pages from-to
19-27
Publisher name
Springer
Place of publication
Cham
Event location
Glasgow
Event date
Mar 24, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001211836300003