Datensatz: DCASE 2021 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set
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Datum der Erstveröffentlichung
2021
Autor:innen
Morfi, Veronica
Stowell, Dan
Lostanlen, Vincent
Gill, Lisa
Pamula, Hanna
Benvent, David
Nolasco, Ines
Singh, Shubhr
Sridhar, Sripathi
Andere Beitragende
Repositorium der Erstveröffentlichung
Zenodo
Version des Datensatzes
DOI (Link zu den Daten)
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationsstatus
Published
Zusammenfassung
The evaluation set for task 5 of DCASE 2021 "Few-shot Bioacoustic Event Detection" consists of 31 audio files acquired from different bioacoustic sources.
In Evaluation_Set_Annotations: the first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This is the same setup used during the DCASE 2021 challenge.
In Evaluation_Set_Full_Annotations: the full annotations are provided for each file, with events marked as positive (POS) or unknown (UNK) for the class of interest.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
bioacoustics, few-shot learning, dcase2021, audio event detection
Zitieren
ISO 690
MORFI, Veronica, Dan STOWELL, Vincent LOSTANLEN, Ariana STRANDBURG-PESHKIN, Lisa GILL, Hanna PAMULA, David BENVENT, Ines NOLASCO, Shubhr SINGH, Sripathi SRIDHAR, Mathieu DUTEIL, Andrew FARNSWORTH, 2021. DCASE 2021 Task 5: Few-shot Bioacoustic Event Detection Evaluation SetBibTex
RDF
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In Evaluation_Set_Annotations: the first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This is the same setup used during the DCASE 2021 challenge.
In Evaluation_Set_Full_Annotations: the full annotations are provided for each file, with events marked as positive (POS) or unknown (UNK) for the class of interest.</dcterms:abstract>
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</rdf:RDF>Kommentar zur Publikation
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