From citizen science to AI models: Advancing cetacean vocalization automatic detection through multi-annotator campaigns

Author:

Dubus Gabriel,Cazau Dorian,Torterotot Maëlle,Gros-Martial Anatole,Nguyen Hong Duc Paul,Adam Olivier

Publisher

Elsevier BV

Reference43 articles.

1. Automated Detection and Classification of Cetacean Acoustic Signals;Best,2022

2. Crowdsourcing Multi-label Audio Annotation Tasks with Citizen Scientists;Cartwright,2019

3. Australian long-finned pilot whales (Globicephala melas) emit stereotypical, variable, biphonic, multi-component, and sequenced vocalisations, similar to those recorded in the northern hemisphere;Courts;Sci. Rep.,2020

4. Validation of soft labels in developing deep learning algorithms for detecting lesions of myopic maculopathy from optical coherence tomographic images;Du;Asia-Pacific J. Ophthalmol.,2022

5. Better quantifying inter-annotator variability: A step towards citizen science in underwater passive acoustics;Dubus,2023

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