10 papers
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing
Christophe Botella, Benjamin Deneu, Diego Marcos +6
Understanding the spatio-temporal distribution of species is a cornerstone of ecology and conservation. By pairing species observations with geographic and environmental predictors…
LifeCLEF Plant Identification Task 2015
Herve Goeau, Pierre Bonnet, Alexis Joly
The LifeCLEF plant identification challenge aims at evaluating plant identification methods and systems at a very large scale, close to the conditions of a real-world biodiversity…
Overview of ExpertLifeCLEF 2018: how far automated identification systems are from the best experts?
Herve Goeau, Pierre Bonnet, Alexis Joly
Automated identification of plants and animals has improved considerably in the last few years, in particular thanks to the recent advances in deep learning. The next big question…
Plant identification in an open-world (LifeCLEF 2016)
Herve Goeau, Pierre Bonnet, Alexis Joly
The LifeCLEF plant identification challenge aims at evaluating plant identification methods and systems at a very large scale, close to the conditions of a real-world biodiversity…
Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
Herve Goeau, Pierre Bonnet, Alexis Joly
The 2017-th edition of the LifeCLEF plant identification challenge is an important milestone towards automated plant identification systems working at the scale of continental flor…
Overview of LifeCLEF Plant Identification task 2020
Herve Goeau, Pierre Bonnet, Alexis Joly
Automated identification of plants has improved considerably thanks to the recent progress in deep learning and the availability of training data with more and more photos in the f…