BirdVox-70k: a dataset for species-agnostic flight call detection in half-second clips
BirdVox-70k: a dataset for avian flight call detection in half-second clips ====================================================================================== Version 1.0, April 2018. Created By ---------- Vincent Lostanlen (1, 2, 3), Justin Salamon (2, 3), An
BirdVox-70k: a dataset for avian flight call detection in half-second clips
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Version 1.0, April 2018.
Created By
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Vincent Lostanlen (1, 2, 3), Justin Salamon (2, 3), Andrew Farnsworth (1), Steve Kelling (1), and Juan Pablo Bello (2, 3).
(1): Cornell Lab of Ornithology (CLO)
(2): Center for Urban Science and Progress, New York University
(3): Music and Audio Research Lab, New York University
Description
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The BirdVox-70k dataset contains 70k half-second clips from 6 audio recordings in the BirdVox-full-night dataset, each about ten hours in duration. These recordings come from ROBIN autonomous recording units, placed near Ithaca, NY, USA during the fall 2015. They were captured on the night of September 23rd, 2015, by six different sensors, originally numbered 1, 2, 3, 5, 7, and 10.
Andrew Farnsworth used the Raven software to pinpoint every avian flight call in time and frequency. He found 35402 flight calls in total. He estimates that about 25 different species of passerines (thrushes, warblers, and sparrows) are present in this recording. Species are not labeled in BirdVox-70k, but it is possible to tell apart thrushes from warblers and sparrrows by looking at the center frequencies of their calls. The annotation process took 102 hours.
The dataset can be used, among other things, for the research,development and testing of bioacoustic classification mode ls, including the reproduction of the results reported in [1].
For details on the hardware of ROBIN recording units, we refer the reader to [2].
[1] V. Lostanlen, J. Salamon, A. Farnsworth, S. Kelling, J. Bello. BirdVox-full-night: a dataset and benchmark for avian flight call detection. Proc. IEEE ICASSP, 2018.
[2] J. Salamon, J. P. Bello, A. Farnsworth, M. Robbins, S. Keen, H. Klinck, and S. Kelling. Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring. PLoS One, 2016.
Data Files
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BirdVox-70k contains the recordings as HDF5 files, sampled at 24 kHz, with a single channel (mono). Each HDF5 file corresponds to a different sensor. The name of the HDF5 dataset in each file is "waveforms".
Metadata Files
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Contrary to BirdVox-full-night, BirdVox-70k is not shipped with a metadata file. Rather, the metadata is included in the keys of the elements in the HDF5 files themselves, whose values are the waveforms.
An example of BirdVox-70k key is:
unitID_TIMESTAMP_FREQ_LABEL
where
- ID is the identifier of the unit (01, 02, 03, 05, 07, or 10)
- TIMESTAMP is the timestamp of the center of the clip in the BirdVox-full-night recording. This time
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Files are hosted on the source repository. Click download to access the full dataset.