Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa

Résumé

The BirdCLEF 2023 challenge focused on bird species classification in a dataset of Kenyan soundscape recordings. Kenya is home to over 1,000 species of birds, covering a wide range of ecosystems, from the savannahs of the Maasai Mara to the Kakamega rainforest, and even alpine regions on Kilimanjaro and Mount Kenya. Tracking this vast number of species with ML can be challenging, especially with minimal training data available for many species. This year the competition switched back to threshold-free evaluation metric, and introduced a two-hour time limit on inference to ensure the practical usability of models.
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hal-04345437 , version 1 (14-12-2023)

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Paternité

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  • HAL Id : hal-04345437 , version 1

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Stefan Kahl, Tom Denton, Holger Klinck, Hendrik Reers, Francis Cherutich, et al.. Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa. CLEF 2023 - Working Notes of the Conference and Labs of the Evaluation Forum, Mohammad Aliannejadi; Guglielmo Faggiol; Nicola Ferro; Michalis Vlachos, Sep 2023, Thessalonique, Greece. pp.1934-1942. ⟨hal-04345437⟩
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