{"url":"/dataset/birdclef-2019","name":"BirdCLEF 2019","full_name":"BirdCLEF 2019","description_markdown":"BirdClef 2019 is a bird soundscape dataset. It contains around 350 hours of manually annotated soundscapes using 30 field recorders between January and June of 2017 in Ithaca, NY, USA. There are around 50,000 recordings in the dataset in total, with 659 classes. The dataset also contains species tags.\n\nSource: [https://www.imageclef.org/BirdCLEF2019](https://www.imageclef.org/BirdCLEF2019)\nImage Source: [http://dcase.community/challenge2018/task-bird-audio-detection](http://dcase.community/challenge2018/task-bird-audio-detection)","description_withheld":null,"homepage":"https://www.imageclef.org/BirdCLEF2019","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["BirdCLEF 2019"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}