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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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
Number of pages
24
Pages from-to
416-439
Publisher name
Springer
Place of publication
Cham
Event location
Thessaloniki, Řecko
Event date
Sep 18, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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