Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation

Abstract : Identifying and naming living plants or animals is usually impossible for the general public and often a difficult task for professionals and naturalists. Bridging this gap is a key challenge towards enabling effective biodiversity information retrieval systems. This taxonomic gap was actually already identified as one of the main ecological challenges to be solved during the Rio de Janeiro United Nations “Earth Summit” in 1992. Since 2011, the LifeCLEF challenges conducted in the context of the CLEF evaluation forum have been boosting and evaluating the advances in this domain. Data collections with an unprecedented volume and diversity have been shared with the scientific community to allow repeatable and long-term experiments. This paper describes the methodology of the conducted evaluation campaigns as well as providing a synthesis of the main results and lessons learned along the years.
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https://hal.umontpellier.fr/hal-02273280
Contributeur : Yannick Brohard <>
Soumis le : mercredi 28 août 2019 - 16:59:29
Dernière modification le : jeudi 17 octobre 2019 - 14:46:14

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Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, et al.. Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation. Nicola Ferro; Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF, 41, pp.389-413, 2019, The Information Retrieval Series, 978-3-030-22948-1. ⟨10.1007/978-3-030-22948-1_16⟩. ⟨hal-02273280⟩

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