LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Conference Papers Year : 2024

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification

Alexis Joly
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Scientific Data Management
CV
Lukáš Picek
University of West Bohemia [Plzeň ]
Stefan Kahl
Cornell University [Ithaca]
Chemnitz University of Technology / Technische Universität Chemnitz
Hervé Goëau
Botanique et Modélisation de l'Architecture des Plantes et des Végétations
Département Systèmes Biologiques
Vincent Espitalier
  • Function : Author
Botanique et Modélisation de l'Architecture des Plantes et des Végétations
Christophe Botella
Scientific Data Management
Biostatistique et Processus Spatiaux
Benjamin Deneu
Scientific Data Management
CV
Diego Marcos
Observation de la terre et apprentissage machine pour les défis agro-environnementaux
Joaquim Estopinan
Scientific Data Management
Botanique et Modélisation de l'Architecture des Plantes et des Végétations
César Leblanc
Scientific Data Management
Théo Larcher
  • Function : Author
  • PersonId : 1270210
Scientific Data Management
Milan Šulc
Marek Hrúz
University of West Bohemia [Plzeň ]
Maximilien Servajean
ADVanced Analytics for data SciencE
Université Paul-Valéry - Montpellier 3
CV
Jiří Matas
Czech Technical University in Prague
Hervé Glotin
DYNamiques de l’Information
Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)
Robert Planqué
Xeno-canto foundation
Willem-Pier Vellinga
Xeno-canto foundation
Holger Klinck
Cornell University [Ithaca]
Tom Denton
Google Research
Andrew Durso
Florida Gulf Coast University
Ivan Eggel
  • Function : Author
Haute École Spécialisée de Suisse Occidentale Valais-Wallis
Pierre Bonnet
Botanique et Modélisation de l'Architecture des Plantes et des Végétations
Département Systèmes Biologiques
CV
Henning Müller
Haute École Spécialisée de Suisse Occidentale Valais-Wallis

Abstract

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.

Domains

Computer Science [cs] Biodiversity and Ecology

Yannick Brohard  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-04667635

Submitted on : Monday, August 5, 2024-11:26:39 AM

Last modification on : Thursday, August 22, 2024-5:04:48 PM

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hal-04667635 , version 1 (05-08-2024)

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Alexis Joly, Lukáš Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, et al.. LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR 2024 - 46th European Conference on Information Retrieval, Mar 2024, Glasgow, United Kingdom. pp.19-27, ⟨10.1007/978-3-031-56072-9_3⟩. ⟨hal-04667635⟩

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