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Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction

Abstract : Building accurate knowledge of the identity, the geographic distribution and the evolution of living species is essential for a sustainable development of humanity, as well as for biodiversity conservation. Unfortunately, such basic information is often only partially available for professional stakeholders, teachers, scientists and citizens, and often incomplete for ecosystems that possess the highest diversity. In this context, an ultimate ambition is to set up innovative information systems relying on the automated identification and understanding of living organisms as a means to engage massive crowds of observers and boost the production of biodiversity and agro-biodiversity data. The LifeCLEF 2019 initiative proposes three data-oriented challenges related to this vision, in the continuity of the previous editions but with several consistent novelties intended to push the boundaries of the state-of-the-art in several research directions. This paper describes the methodology of the conducted evaluations as well as the synthesis of the main results and lessons learned.
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Soumis le : vendredi 15 novembre 2019 - 12:48:50
Dernière modification le : vendredi 5 août 2022 - 15:03:28
Archivage à long terme le : : dimanche 16 février 2020 - 16:02:54


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Alexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Maximilien Servajean, et al.. Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction. CLEF 2019 - 10th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2019, Lugano, Switzerland. pp.387-401, ⟨10.1007/978-3-030-28577-7_29⟩. ⟨hal-02281455⟩



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