You are here

LifeCLEF overview

logolifeclef

What is LifeCLEF ?

LifeCLEF is a virtual research lab organizing machine learning challenges on topics related to biodiversity.

Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for a sustainable development of humanity, as well as for biodiversity conservation. However, the burden of the observation and identification of plants and animals in the field is strongly penalizing the aggregation of new data and knowledge. Bridging this gap through the use of machine learning and AI techniques is a key challenge towards enabling effective biodiversity management systems. The LifeCLEF lab aims at boosting and evaluating the advances in this domain since 2014. Each year, it organizes several large-scale machine learning challenges on topics such as image-based plant identification, bird sounds recognition or species prediction from remote sensing data.

LifeCLEF lab is part of the Conference and Labs of the Evaluation Forum (CLEF). CLEF consists of independent peer-reviewed workshops on a broad range of challenges in the fields of multilingual and multimodal information access evaluation, and a set of benchmarking activities carried in various labs designed to test different aspects of mono and cross-modal Information retrieval systems.

LifeCLEF editions

LifeCLEF 2022
LifeCLEF 2021
LifeCLEF 2020
LifeCLEF 2019
LifeCLEF 2018
LifeCLEF 2017
LifeCLEF 2016
LifeCLEF 2015
LifeCLEF 2015
LifeCLEF 2014

Credits

Pl@ntNet      Pl@ntNet      Inria          CNRS      Xeno-Canto      Caltech      Cornell      Chemnitz      UM
ZCU-FAV      Cos4Cloud     Univ Toulon