Published May 31, 2024 | Version v2
Dataset Restricted

Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network

Authors/Creators

  • 1. Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
  • 2. Department of Network and Data Science, Central European University, Vienna, Austria
  • 3. Chester Zoo, Caughall Road, Chester, UK
  • 4. Southern African Foundation for the Conservation of Coastal Birds (SANCCOB), Cape Town, South Africa
  • 5. Department of Biodiversity and Conservation Biology, University of the Western Cape, Robert Sobukwe Road, Bellville, South Africa
  • 6. ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, Saint-Etienne, France
  • 7. Institut universitaire de France, Ministry of Higher Education, Research and Innovation, 1 rue Descartes, CEDEX 05, Paris, France
  • 8. Ecole Pratique des Hautes Etudes, CHArt lab, PSL University, Paris, France
  • 9. Stazione Zoologica Anton Dohrn, Naples, Italy

Description

This repository icludes the code and all relevant files used throughout our study. These encompass everything from the initial sheets of the whole acoustic dataset utilised for selecting the annotated dataset to the notebook (.ipynb) and the recordings employed in training the model.

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Additional details

Dates

Updated
2024-05-20