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FilenameMB_0_0.pt
Direct linkhttps://mda.vliz.be/directlink.php?fid=VLIZ_00000776_6672fdd5df54b869504488
DatatypeSoftware and scripts
MIMEtypeapplication/octet-stream
AuthorsParcerisas Clea
DataproviderParcerisas Clea
Email Dataproviderclea.parcerisas@vliz.be
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SubmitterParcerisas Clea
Submit date2024-06-19 15:48:37
Archived byDhondt Charlotte
Archive date2026-07-01 13:41:10
PathVLIZ External DOI requests - Public/VLIZ/PAM Models/
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SummaryTrained weights of model
DescriptionTrained YOLOv8 model to detect unknown underwater sounds.

Final model of publication:
Parcerisas, Clea, Elena Schall, Kees te Velde, Dick Botteldooren, Paul Devos, and Elisabeth Debusschere. “Machine Learning for Efficient Segregation and Labeling of Potential Biological Sounds in Long-Term Underwater Recordings.” Frontiers in Remote Sensing 5 (April 25, 2024). https://doi.org/10.3389/frsen.2024.1390687.
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Title Trained YOLOv8 model to detect unknown underwater sounds
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Programming Language Python
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