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Communication Dans Un Congrès Année : 2018

Overview of LifeCLEF 2018: A Large-Scale Evaluation of Species Identification and Recommendation Algorithms in the Era of AI

Alexis Joly
Hervé Goëau
Christophe Botella
Hervé Glotin
Willem-Pier Vellinga
Robert Planqué

Résumé

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 Life-CLEF 2018 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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Dates et versions

hal-01913231 , version 1 (06-11-2018)

Identifiants

Citer

Alexis Joly, Hervé Goëau, Christophe Botella, Hervé Glotin, Pierre Bonnet, et al.. Overview of LifeCLEF 2018: A Large-Scale Evaluation of Species Identification and Recommendation Algorithms in the Era of AI. CLEF 2018 - 9th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2018, Avignon, France. pp.247-266, ⟨10.1007/978-3-319-98932-7_24⟩. ⟨hal-01913231⟩
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