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Recent advances in birdsong detection and classification have approached alimit due to the lack of fully annotated recordings. In this paper, we presentNIPS4Bplus, the first richly annotated birdsong audio dataset, that iscomprised of recordings containing bird vocalisations along with their activespecies tags plus the temporal annotations acquired for them. Statisticalinformation about the recordings, their species specific tags and theirtemporal annotations are presented along with example uses. NIPS4Bplus could beused in various ecoacoustic tasks, such as training models for bird populationmonitoring, species classification, birdsong vocalisation detection andclassification.

NIPS4Bplus: a richly annotated birdsong audio dataset