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Added | 2023-01-20 20:08:54 |
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ID | 4966 |
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Folder | fewshot_DCASE2022_task5_DevelopmentSet_v3 |
Num files | 579 files [See full list] |
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Type: Dataset
Tags: bird, few-shot, acoustics, animal, DCASE, event detection, mammal, bioacoustics
Bibtex:
Tags: bird, few-shot, acoustics, animal, DCASE, event detection, mammal, bioacoustics
Bibtex:
@article{, title= {DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set v3}, journal= {}, author= {Ines Nolasco and Shubhr Singh and Ariana Strandburg-Peshkin and Lisa Gill and Hanna Pamula and Joe Morford and Michael Emmerson and Frants Jensen and Helen Whitehead and Ivan Kiskin and Ester Vidana-Vila and Vincent Lostanlen and Veronica Morfi and Dan Stowell}, year= {}, url= {https://dcase.community/challenge2022/task-few-shot-bioacoustic-event-detection}, abstract= {The development set for task 5 of DCASE 2022 Few-shot Bioacoustic Event Detection consists of 192 audio files acquired from different bioacoustic sources. The dataset is split into training and validation sets. Multi-class annotations are provided for the training set with positive (POS), negative (NEG) and unknown (UNK) values for each class. UNK indicates uncertainty about a class. Single-class (class of interest) annotations are provided for the validation set, with events marked as positive (POS) or unkwown (UNK) provided for the class of interest. Also available at https://zenodo.org/record/6482837}, keywords= {bird, few-shot, bioacoustics, acoustics, animal, DCASE, event detection, mammal}, terms= {}, license= {http://creativecommons.org/licenses/by/4.0/}, superseded= {} }