@inproceedings{fdi:010085722,
  title = {{L}ife{CLEF} plant identification task 2014},
  author = {{G}o{\¨e}au, {H}. and {J}oly, {A}. and {B}onnet, {P}. and {S}elmi, {S}. and {M}olino, {J}ean-{F}ran{\c{c}}ois and {B}arth{\'e}l{\'e}my, {D}. and {B}oujemaa, {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {L}ife{CLEF}s plant identication task provides a testbed for a system-oriented evaluation of plant identication about 500 species trees and herbaceous plants. {S}even 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. {T}he main originality of this data is that it was specically built through a citizen sciences initiative conducted by {T}ela {B}otanica, a {F}rench social network of amateur and expert botanists. {T}his makes the task closer to the conditions of a realworld application. {T}his 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. {W}ith 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 {I}mage & {M}ultimedia {R}etrieval community interest for biodiversity and botany, and highlights further challenging studies in plant identication.},
  keywords = {{TAXONOMIE} ; {PHYTOGEOGRAPHIE} ; {HERBACEE} ; {ARBRE} ; {CLE} {DE} {DETERMINATION} ; {PHOTOGRAPHIE} ; {ANALYSE} {D}'{IMAGE} ; {SCIENCE} {PARTICIPATIVE} ; {RESEAU} {SOCIAL}},
  numero = {1180},
  pages = {598--615},
  booktitle = {},
  year = {2014},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085722},
}