LifeCLEF Plant Identification Task 2014

Hervé Goëau 1 Alexis Joly 1, * Pierre Bonnet 2 Souheil Selmi 1 Jean-François Molino 2 Daniel Barthélémy 2 Nozha Boujemaa 3
* Corresponding author
1 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The LifeCLEFs plant identication task provides a testbed for a system-oriented evaluation of plant identication about 500 species trees and herbaceous plants. Seven types of image content are considered: scan and scan-like pictures of leaf, and 6 kinds of detailed views with unconstrained conditions, directly photographed on the plant: ower, fruit, stem & bark, branch, leaf and entire view. The main originality of this data is that it was specically built through a citizen sciences initiative conducted by Tela Botanica, a French social network of amateur and expert botanists. This makes the task closer to the conditions of a realworld application. This overview presents more precisely the resources and assessments of task, summarizes the retrieval approaches employed by the participating groups, and provides an analysis of the main evaluation results. With a total of ten groups from six countries and with a total of twenty seven submitted runs, involving distinct and original methods, this fourth year task confirms Image & Multimedia Retrieval community interest for biodiversity and botany, and highlights further challenging studies in plant identication
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Hervé Goëau, Alexis Joly, Pierre Bonnet, Souheil Selmi, Jean-François Molino, et al.. LifeCLEF Plant Identification Task 2014. CLEF: Conference and Labs of the Evaluation Forum, Sep 2014, Sheffield, United Kingdom. pp.598-615. ⟨halsde-01064599⟩

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