Data labels for the Bird Audio Challenge 2016. These annotations indicate the presence/absence of bird sounds in various datasets of 10-second audio clips.
More info: http://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/
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REUSE:
The data is published under a Creative Commons CC-BY licence, and so you may reuse it as long as you attribute the origin. In academic work, please do this via a citation to our paper on the challenge:
Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin. Bird detection in audio: a survey and a challenge, in Proceedings of MLSP 2016, arXiv:1608.03417 [cs.SD], 2016.
You may also wish to link directly to this dataset, which you can do via its DOI https://dx.doi.org/10.6084/m9.figshare.3851466
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How the annotations were collected:
The label "hasbird" represents whether a sound clip contains any audible bird sound. Note that there may be other sounds such as weather or humans, occasionally loud - the label does not mean that bird sound predominates.
The labels were double-annotated, by the following procedures:
* For the ff1010bird data, the presence/absence of birds was first deduced from the tags provided by the original FreeSound recordist (diverse crowdsourced tags such as "birdsong" "dawn-chorus" or "phylloscopus-collybita"), and then double-checked and refined by a manual annotator.
* For the warblrb10k data, the annotations were crowdsourced via a web
service, answering the following question: "Can you hear any birds in
this clip?" Annotations were then double-checked by a manual annotator
to correct false-positives and -negatives.
To download the corresponding audio data please see http://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/