Info hash | 37bc2e21fa17b7695ccdfe7d44410dda3e3fde16 |
Last mirror activity | 2:41:48 ago |
Size | 6.59GB (6,592,329,239 bytes) |
Added | 2023-01-20 20:08:54 |
Views | 223 |
Hits | 184 |
ID | 4966 |
Type | multi |
Downloaded | 30 time(s) |
Uploaded by | danstowell1 |
Folder | fewshot_DCASE2022_task5_DevelopmentSet_v3 |
Num files | 579 files [See full list] |
Mirrors | 3 complete, 0 downloading = 3 mirror(s) total [Log in to see full list] |
fewshot_DCASE2022_task5_DevelopmentSet_v3 (579 files)
DCASE2022_task5_Training_set_classes.csv | 1.49kB |
DCASE2022_task5_Validation_set_classes.csv | 0.80kB |
Development_Set/Training_Set/BV/2015-09-04_08-04-59_unit03.csv | 335.15kB |
Development_Set/Training_Set/BV/2015-09-04_08-04-59_unit03.wav | 345.60MB |
Development_Set/Training_Set/BV/2015-09-11_06-00-00_unit07.csv | 74.82kB |
Development_Set/Training_Set/BV/2015-09-11_06-00-00_unit07.wav | 345.60MB |
Development_Set/Training_Set/BV/2015-09-21_06-00-00_unit05.csv | 118.66kB |
Development_Set/Training_Set/BV/2015-09-21_06-00-00_unit05.wav | 345.60MB |
Development_Set/Training_Set/BV/2015-09-25_04-00-00_unit10.csv | 103.72kB |
Development_Set/Training_Set/BV/2015-09-25_04-00-00_unit10.wav | 345.60MB |
Development_Set/Training_Set/BV/2015-10-14_23-59-59_unit05.csv | 63.02kB |
Development_Set/Training_Set/BV/2015-10-14_23-59-59_unit05.wav | 345.60MB |
Development_Set/Training_Set/HT/a1.csv | 4.87kB |
Development_Set/Training_Set/HT/a1.wav | 43.20MB |
Development_Set/Training_Set/HT/e1.csv | 2.83kB |
Development_Set/Training_Set/HT/e1.wav | 43.20MB |
Development_Set/Training_Set/HT/h1.csv | 13.84kB |
Development_Set/Training_Set/HT/h1.wav | 43.20MB |
Development_Set/Training_Set/HT/n1.csv | 1.81kB |
Development_Set/Training_Set/HT/n1.wav | 43.20MB |
Development_Set/Training_Set/HT/y1.csv | 3.50kB |
Development_Set/Training_Set/HT/y1.wav | 43.20MB |
Development_Set/Training_Set/JD/sp4f1_2015_04_24-05_00_00_0002.csv | 21.25kB |
Development_Set/Training_Set/JD/sp4f1_2015_04_24-05_00_00_0002.wav | 26.47MB |
Development_Set/Training_Set/MT/dcase_MK1.csv | 19.13kB |
Development_Set/Training_Set/MT/dcase_MK1.wav | 30.74MB |
Development_Set/Training_Set/MT/dcase_MK2.csv | 42.83kB |
Development_Set/Training_Set/MT/dcase_MK2.wav | 41.84MB |
Development_Set/Training_Set/WMW/XC100296.csv | 2.29kB |
Development_Set/Training_Set/WMW/XC100296.wav | 6.08MB |
Development_Set/Training_Set/WMW/XC100619.csv | 2.13kB |
Development_Set/Training_Set/WMW/XC100619.wav | 3.24MB |
Development_Set/Training_Set/WMW/XC100622.csv | 2.80kB |
Development_Set/Training_Set/WMW/XC100622.wav | 15.09MB |
Development_Set/Training_Set/WMW/XC100954.csv | 1.84kB |
Development_Set/Training_Set/WMW/XC100954.wav | 4.96MB |
Development_Set/Training_Set/WMW/XC103243.csv | 8.92kB |
Development_Set/Training_Set/WMW/XC103243.wav | 17.28MB |
Development_Set/Training_Set/WMW/XC106971.csv | 3.14kB |
Development_Set/Training_Set/WMW/XC106971.wav | 3.41MB |
Development_Set/Training_Set/WMW/XC109629.csv | 5.13kB |
Development_Set/Training_Set/WMW/XC109629.wav | 29.76MB |
Development_Set/Training_Set/WMW/XC120411.csv | 2.38kB |
Development_Set/Training_Set/WMW/XC120411.wav | 11.47MB |
Development_Set/Training_Set/WMW/XC120730.csv | 7.09kB |
Development_Set/Training_Set/WMW/XC120730.wav | 15.90MB |
Development_Set/Training_Set/WMW/XC129156.csv | 6.55kB |
Development_Set/Training_Set/WMW/XC129156.wav | 9.37MB |
Development_Set/Training_Set/WMW/XC131532.csv | 2.69kB |
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= {} }