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

Domain:

environment and energy

Record type:

paperdataset
Creator:
KahDenKliRee
Editor:
CheCorGooÖko
Publisher:
CCSD
Host:avatar
Source Agritrop Cirad (agritrop.cirad.fr) International audience 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.