LifeCLEF 2023 teaser: Species identification and prediction challenges

Joly Alexis, Goeau Hervé, Kahl Stefan, Picek Lukáš, Botella Christophe, Marcos Diego, Sulc Milan, Hrúz Marek, Lorieul Titouan, Moussi Sara Si, Servajean Maximilien, Kellenberger Benjamin, Cole Elijah, Durso Andrew, Glotin Hervé, Planqué Robert, Vellinga Willem-Pier, Klinck Holger, Denton Tom, Eggel Ivan, Bonnet Pierre, Müller Henning. 2023. LifeCLEF 2023 teaser: Species identification and prediction challenges. In : Advances in Information Retrieval:45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III. Kamps Jaap (ed.), Goeuriot Lorraine (ed.), Crestani Fabio (ed.), Maistro Maria (ed.), Joho Hideo (ed.), Davis Brian (ed.), Gurrin Cathal (ed.), Kruschwitz Udo (ed.), Caputo Annalina (ed.). Cham : Springer, 568-576. (Lecture Notes in Computer Science, 13982, 13982) ISBN 978-3-031-28240-9 European Conference on Information Retrieval (ECIR 2023). 45, Dublin, Irlande, 2 Avril 2023/6 Avril 2023.

Résumé : 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, the difficulty of identifying plants, animals and fungi is hindering the aggregation of new data and knowledge. Identifying and naming living organisms is almost impossible for the general public and is often difficult, even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, 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) PlantCLEF: very large-scale plant identification from images, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: remote sensing based prediction of species, (iv) SnakeCLEF: snake recognition in medically important scenarios, and (v) FungiCLEF: fungi recognition beyond 0–1 cost.

Agences de financement européennes : European Commission

Programme de financement européen : Horizon Europe

Projets sur financement : (EU) Modern Approaches to the Monitoring of BiOdiversity

Auteurs et affiliations

• Joly Alexis, INRIA (FRA)
• Goeau Hervé, CIRAD-BIOS-UMR AMAP (FRA)
• Kahl Stefan, Cornell University (USA)
• Picek Lukáš, University of West Bohemia (CZE)
• Botella Christophe, Stellenbosch University (ZAF)
• Marcos Diego, INRIA (FRA)
• Sulc Milan
• Hrúz Marek, University of West Bohemia (CZE)
• Lorieul Titouan, INRIA (FRA)
• Moussi Sara Si
• Servajean Maximilien, CNRS (FRA)
• Kellenberger Benjamin, Yale University (USA)
• Cole Elijah, Caltech (USA)
• Durso Andrew, FGCU (USA)
• Glotin Hervé, Université de Toulon et du Var (FRA)
• Planqué Robert, Xeno-canto foundation (NLD)
• Vellinga Willem-Pier, Xeno-canto foundation (NLD)
• Klinck Holger, Cornell University (USA)
• Denton Tom, Google LLC (USA)
• Eggel Ivan, HES (CHE)
• Bonnet Pierre, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-2828-4389
• Müller Henning, HES (CHE)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608258/)

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