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LifeCLEF 2017


Results Publication

The overview paper summarizing the results of all LifeCLEF 2017 challenges is available: HERE (pdf)

Individual working notes of tasks organizers and participants can be found within CLEF 2017 CEUR-WS proceedings.

LifeCLEF 2017 Workshop Program

Tuesday 12th Sept 9:00 → 9:40 ImageCLEF/LifeCLEF join session - chair: Bogdan Ionescu

  • 09:00 → 09:40 Crowdsourcing, Machine Learning, and Plant Diseases - Marcel Salathé (EPFL)
  • Wednesday 13th Sept 13:45 → 15:45 LifeCLEF session 1 - chair: Alexis Joly

  • 13:45 → 14:30 Keynote - Chris McCool (QUT) - Deep Learning for Precision Agricultural Applications: applied image classification for robotics
  • Abstract: This presentation will overview the development of deep learning systems at QUT which underpin the vision systems of robots such as AgBot II (for broadacre weed management) and Harvey (automated sweet pepper harvesting). In particular, the talk will discuss adaptations of the FasteRCNN approach of object detection to exploit multi-modal (RGB and NIR) information and describe methods to derive efficient deep convolutional neural network (DCNN) approaches that can be deployed on robotic platforms which are resource limited, such as Harvey and AgBot II.

    Bio: Chris McCool is a senior research fellow within the Robotics and Autonomous Systems (RAS) discipline at the Queensland University of Technology. Dr McCool’s research interests lie in the development of novel methods for applied computer vision and pattern recognition to solve challenging tasks in real-world environments. A particular focus of his research has been on enabling robots to perform autonomous operations in Agriculture, as part of the Strategic Investment in Farm Robotics (SIFR) program at QUT.

  • 14:30 → 14:50 Plant challenge overview - Hervé Goëau (CIRAD)
  • 14:50 → 15:10 Xeno-Canto presentation - Willem-Pier Vellinga (Xeno-Canto)
  • 15:10 → 15:25 Bird challenge overview - Alexis Joly (Inria)
  • 15:25 → 15:45 Fish challenge overview - Concetto Spampinatto (Univ. Catania)
  • Wednesday 13th Sept 16:15 → 18:15 LifeCLEF session 2 - chair: Hervé Goëau

  • 16:15 → 16:35 Participation to Plant task (1st) - Mario Lasseck (BNHM)
  • 16:35 → 16:55 Participation to Bird task (1st) - Hervé Glotin (DYNi)
  • 16:55 → 17:15 Participation to Bird task - Stefan Kahl (TUCMI)
  • 17:15 → 17:35 Participation to Bird and Plant task - C. M. Friedrich (FH-Dortmund)
  • 17:35 → 18:15 Feedbacks / Discussion towards the future of LifeCLEF - animated by Alexis Joly
  • Registration

    • If you have not registered in the past or have changed affiliation you can register for 2017 here.
    • For people already registered in the past, you can transfer your registration details to CLEF 2017 here.


    • 14th Nov 2016: registration opens for all LifeCLEF tasks (until 30.04.2017)
    • Jan 2016 - March 2017: training data release (depends on the task)
    • April 2017: test data release
    • 12th May 2017: deadline for submission of runs by the participants
    • 18th May 2017: release of processed results by the task organizers
    • 2nd June 2017: deadline for submission of working notes papers by the participants
    • 20th June 2017: notification of acceptance of the working notes papers
    • 3rd July 2017: camera ready working notes papers
    • 11th-14th Sept 2017: CLEF 2017 Dublin, Ireland


    Building accurate knowledge of the identity, the geographic distribution and the evolution of living species is essential for a sustainable development of humanity as well as for biodiversity conservation. Unfortunately, such basic information is often only partially available for professional stakeholders, teachers, scientists and citizens, and often incomplete for ecosystems that possess the highest diversity. A noticeable cause and consequence of this sparse knowledge is that identifying living plants or animals is usually impossible for the general public, and often a difficult task for professionals, such as farmers, fish farmer or foresters and even also for the naturalists and specialists themselves. This taxonomic gap was actually identified as one of the main ecological challenges to be solved during the Rio’s United Nations Conference in 1992.


    In this context, an ultimate ambition is to set up a world-scale collaborative workflow relying on the automated identification and understanding of living organisms as a mean to engage massive crowds of observers and boost the production of biodiversity and agro-biodiversity data. Whereas existing initiatives consider only a part of these objectives (e.g. building identification tools, or building biodiversity data sharing platforms, or building new crowdsourcing models), the ground-breaking concept underlying LifeCLEF is to initiate a long-term positive feedback loop as illustrated in in the above Figure. The release of innovative machine learning tools running on a variety of mobile and connected devices first allow engaging much more nature observers than current biodiversity-related participatory sensing initiatives or specialized social networks. This consequently boosts the production of biodiversity data (in particular for the species in the long-tail) and finally increases the performances of the automatic recognition tools that are trained on the produced data.

    The LifeCLEF 2017 lab proposes three data-oriented challenges related to this vision, in the continuity of the two previous editions of the lab, but with several consistent novelties intended to push the boundaries of the state-of-the-art in several research directions at the frontier of information retrieval, machine learning and knowledge engineering including:

  • Large Scale Classification
  • Weakly-supervised and open-set classification
  • Transfer learning & fine-grained classification
  • Crowdsourcing models and algorithms
  • Interactive and mobile search
  • Scene understanding
  • Focused crawling and record linkage
  • More concretely, the lab is organized around three tasks that are ran each year since the creation of LifeCLEF:

    and a brave new pilot task:

    CLEF Conference and working notes

    CLEF 2017 CLEF Initiative

    LifeCLEF lab is part of the Conference and Labs of the Evaluation Forum: CLEF 2017. CLEF 2017 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-language Information retrieval systems. More details about the conference can be found here. Also there is more information about the Clef Initiative.

    Submitting a working note with the full description of the methods used in each run is mandatory. Any run that could not be reproduced thanks to its description in the working notes might be removed from the official publication of the results. Working notes are published within CEUR-WS proceedings, resulting in an assignment of an individual DOI (URN) and an indexing by many bibliography systems including DBLP. According to the CEUR-WS policies, a light review of the working notes will be conducted by LifeCLEF organizing committee to ensure quality. As an illustration, LifeCLEF 2016 working notes (task overviews and participant working notes) can be found within CLEF 2016 CEUR-WS proceedings.



    • Alexis Joly, INRIA Sophia-Antipolis - ZENITH team, LIRMM, University of Montpellier, France, alexis.joly(replace-by-an-arrobe)
    • Henning Müller, University of Applied Sciences Western Switzerland in Sierre, Switzerland, henning.mueller(replace-by-an-arrobe)


    • Hervé Glotin, University of Toulon, France, glotin(replace-by-an-arrobe)
    • Hervé Goëau, Cirad - AMAP, Montpellie, France.
    • Willem-Pier Vellinga, Xeno-Canto foundation for nature sounds, The Netherlands, wp(replace-by-an-arrobe)
    • Alexis Joly, INRIA Sophia-Antipolis - ZENITH team, LIRMM, University of Montpellier, France, alexis.joly(replace-by-an-arrobe)


    • Hervé Goëau, Cirad - AMAP, Montpellier, France.
    • Alexis Joly, INRIA Sophia-Antipolis - ZENITH team, LIRMM, University of Montpellier, France, alexis.joly(replace-by-an-arrobe)
    • Pierre Bonnet, Cirad – AMAP, Montpellier, France, pierre.bonnet(replace-by-an-arrobe)


    • Concetto Spampinato, University of Catania, Italy, cspampin(replace-by-an-arrobe)
    • Simone Palazzo, University of Catania, Italy, simone.palazzo(replace-by-an-arrobe)
    • Jean-Christophe Lombardo, Inria, France,jean-christophe.lombardo(replace-by-an-arrobe)>
    • Anjara Saloma, Cetamada, Madagascar, anjara(replace-by-an-arrobe)


    • Christophe Botella, Inra – AMAP, Montpellier, France, Christophe Botella
    • Erick Mata Montero, Instituto Tecnológico de Costa Rica, emata(replace-by-an-arrobe)
    • Hervé Goëau, Cirad – AMAP, Montpellier, France.
    • Alexis Joly, INRIA Sophia-Antipolis - ZENITH team, LIRMM, University of Montpellier, France, alexis.joly(replace-by-an-arrobe)
    • Pierre Bonnet, Cirad – AMAP, Montpellier, France, pierre.bonnet(replace-by-an-arrobe)


    • Ivan Eggel, University of Applied Sciences Western Switzerland, Sierre, Switzerland, ivan.eggel(replace-by-an-arrobe)

    Floris'tic      Inria          CNRS      Xeno-Canto           Sabiod      Cetamada