most citedLifeCLEF Plant Identification Task 2015

78 citations · 311 across the 10 of their papers we have counts for

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cs.CV2025

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…

cs.CV2025

LifeCLEF Plant Identification Task 2014

Herve Goeau, Alexis Joly, Pierre Bonnet +4

The LifeCLEFs plant identification task provides a testbed for a system-oriented evaluation of plant identification about 500 species trees and herbaceous plants. Seven types of im…

cs.CV202578 cited

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…

cs.CV202515 cited

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…

cs.CV202553 cited

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…

cs.CV202555 cited

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…