The DeepFaune initiative: a collaborative effort towards the automatic identification of European fa...
The DeepFaune initiative: a collaborative effort towards the automatic identification of European fauna in camera trap images
About this item
Full title
Author / Creator
Rigoudy, Noa , Dussert, Gaspard , Benyoub, Abdelbaki , Besnard, Aurélien , Birck, Carole , Boyer, Jérome , Bollet, Yoann , Bunz, Yoann , Caussimont, Gérard , Chetouane, Elias , Carriburu, Jules Chiffard , Cornette, Pierre , Delestrade, Anne , De Backer, Nina , Dispan, Lucie , Le Barh, Maden , Duhayer, Jeanne , Elder, Jean-François , Fanjul, Jean-Baptiste , Fonderflick, Jocelyn , Froustey, Nicolas , Garel, Mathieu , Gaudry, William , Gérard, Agathe , Gimenez, Olivier , Hemery, Arzhela , Hemon, Audrey , Jullien, Jean-Michel , Knitter, Daniel , Malafosse, Isabelle , Marginean, Mircea , Ménard, Louise , Ouvrier, Alice , Pariset, Gwennaelle , Prunet, Vincent , Rabault, Julien , Randon, Malory , Raulet, Yann , Régnier, Antoine , Ribière, Romain , Ricci, Jean-Claude , Ruette, Sandrine , Schneylin, Yann , Sentilles, Jérôme , Siefert, Nathalie , Smith, Bethany , Terpereau, Guillaume , Touchet, Pierrick , Thuiller, Wilfried , Uzal, Antonio , Vautrain, Valentin , Vimal, Ruppert , Weber, Julian , Spataro, Bruno , Miele, Vincent and Chamaillé-Jammes, Simon
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Camera traps have revolutionized how ecologists monitor wildlife, but their full potential is realized only when the hundreds of thousands of collected images can be readily classified with minimal human intervention. Deep learning classification models have allowed extraordinary progress towards this end, but trained models remain rare and are only now emerging for European fauna. We report on the first milestone of the DeepFaune initiative (
https://www.deepfaune.cnrs.fr
), a large-scale collaboration between more than 50 partners involved in wildlife research, conservation and management in France. We developed a classification model trained to recognize 26 species or higher-level taxa that are common in Europe, with an emphasis on mammals. The classification model achieved 0.97 validation accuracy and oft...
Alternative Titles
Full title
The DeepFaune initiative: a collaborative effort towards the automatic identification of European fauna in camera trap images
Authors, Artists and Contributors
Author / Creator
Dussert, Gaspard
Benyoub, Abdelbaki
Besnard, Aurélien
Birck, Carole
Boyer, Jérome
Bollet, Yoann
Bunz, Yoann
Caussimont, Gérard
Chetouane, Elias
Carriburu, Jules Chiffard
Cornette, Pierre
Delestrade, Anne
De Backer, Nina
Dispan, Lucie
Le Barh, Maden
Duhayer, Jeanne
Elder, Jean-François
Fanjul, Jean-Baptiste
Fonderflick, Jocelyn
Froustey, Nicolas
Garel, Mathieu
Gaudry, William
Gérard, Agathe
Gimenez, Olivier
Hemery, Arzhela
Hemon, Audrey
Jullien, Jean-Michel
Knitter, Daniel
Malafosse, Isabelle
Marginean, Mircea
Ménard, Louise
Ouvrier, Alice
Pariset, Gwennaelle
Prunet, Vincent
Rabault, Julien
Randon, Malory
Raulet, Yann
Régnier, Antoine
Ribière, Romain
Ricci, Jean-Claude
Ruette, Sandrine
Schneylin, Yann
Sentilles, Jérôme
Siefert, Nathalie
Smith, Bethany
Terpereau, Guillaume
Touchet, Pierrick
Thuiller, Wilfried
Uzal, Antonio
Vautrain, Valentin
Vimal, Ruppert
Weber, Julian
Spataro, Bruno
Miele, Vincent
Chamaillé-Jammes, Simon
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2879457215
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2879457215
Other Identifiers
ISSN
1612-4642
E-ISSN
1439-0574
DOI
10.1007/s10344-023-01742-7
