Datasets › BirdCLEF 2018
BirdCLEF 2018
BirdClef 2018 is a bird soundscape dataset based on the contributions of the Xeno-canto network. The training set contains 36,496 recordings covering 1500 species of central and south America (the largest bioacoustic dataset in the literature). There are about 68 hours of recordings in total, with 1,500 classes and species tags.
Source: https://www.imageclef.org/BirdCLEF2019 Image Source: http://dcase.community/challenge2018/task-bird-audio-detection
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- BirdCLEF 2018
1 variant name, as the archive lists them.
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