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Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.inria.fr/hal-03415990 ; K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Birger Larsen; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.371-393, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_24⟩ (2021)
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Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction
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Joly, Alexis; Goëau, Hervé; Kahl, Stefan; Picek, Lukáš; Lorieul, Titouan; Cole, Elijah; Deneu, Benjamin; Servajean, Maximillien; Durso, Andréw Michaël; Bolon, Isabelle; Glotin, Hervé; Planqué, Robert; Ruiz De Castaneda, Rafael Luis; Vellinga, Willem-Pier; Klinck, Holger; Denton, Tom; Eggel, Ivan; Bonnet, Pierre; Müller, Henning
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In: ISBN: 978-3-030-85250-4 ; Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2021 pp. 371-393 (2021)
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Abstract:
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 and animals is hindering the aggregation of new data and knowledge. Identifying and naming living plants or animals 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 2021 edition proposes four data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: cross-domain plant identification based on herbarium sheets, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: remote sensing based prediction of species, and (iv) SnakeCLEF: Automatic Snake Species Identification with Country-Level Focus.
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Keyword:
info:eu-repo/classification/ddc/613
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URL: https://archive-ouverte.unige.ch/unige:155027
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Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020, Proceedings ; CLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages ; https://hal.inrae.fr/hal-02945382 ; CLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2020, Thessaloniki, Greece. pp.342-363, ⟨10.1007/978-3-030-58219-7_23⟩ (2020)
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Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
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In: ISBN: 978-3-030-58218-0 ; Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2020 - International Conference of the Cross-Language Evaluation Forum for European Languages) pp. 342-363 (2020)
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Imageclef 2013: the vision, the data and the open challenges
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In: LNCS ; CLEF 2013 - 4th Conference and Labs of the Evaluation Forum : Information Access Evaluation meets Multilinguality, Multimodality, and Visualization ; https://hal.inria.fr/hal-00908881 ; CLEF 2013 - 4th Conference and Labs of the Evaluation Forum : Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, Sep 2013, Valencia, Spain. pp.250-268, ⟨10.1007/978-3-642-40802-1_26⟩ ; http://clef2013.clef-initiative.eu/ (2013)
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ImageCLEF 2013: The vision, the data and the open challenges
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