LifeCLEF 2023 teaser: Species Identification and Prediction Challenges - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2023

LifeCLEF 2023 teaser: Species Identification and Prediction Challenges

Milan Šulc
Marek Hrúz
Elijah Cole
Willem-Pier Vellinga
Tom Denton
  • Function : Author


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.
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Dates and versions

hal-04204378 , version 1 (12-09-2023)





Alexis Joly, Stefan Kahl, Lukáš Picek, Christophe Botella, Diego Marcos, et al.. LifeCLEF 2023 teaser: Species Identification and Prediction Challenges. ECIR 2023 - 45th European Conference on Information Retrieval, Jaap Kamps; Lorraine Goeuriot; Fabio Crestani; Maria Maistro; Hideo Joho; Brian Davis; Cathal Gurrin; Udo Kruschwitz; Annalina Caputo, Apr 2023, Dublin, Ireland. pp.568-576, ⟨10.1007/978-3-031-28241-6_65⟩. ⟨hal-04204378⟩
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