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The ImageCLEF 2012 Plant Identification Task

Abstract : The ImageCLEF's plant identification task provides a testbed for the system-oriented evaluation of plant identification, more precisely on the 126 tree species identification based on leaf images. Three types of image content are considered: Scan, Scan-like (leaf photographs with a white uniform background), and Photograph (unconstrained leaf with natural background). The main originality of this data is that it was specifically 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 real-world 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 eleven groups from eight countries and with a total of 30 runs submitted, involving distinct and original methods, this second year pilot task confirms Image Retrieval community interest for biodiversity and botany, and highlights further challenging studies in plant identification.
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Contributor : Hervé Goëau Connect in order to contact the contributor
Submitted on : Wednesday, March 19, 2014 - 10:13:08 AM
Last modification on : Tuesday, October 25, 2022 - 4:22:09 PM
Long-term archiving on: : Thursday, June 19, 2014 - 11:06:58 AM


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  • HAL Id : hal-00960918, version 1
  • PRODINRA : 314541


Hervé Goëau, Pierre Bonnet, Alexis Joly, Itheri Yahiaoui, Daniel Barthélémy, et al.. The ImageCLEF 2012 Plant Identification Task. CLEF'2012: Conference and Labs of the Evaluation Forum, Sep 2012, Rome, Italy. ⟨hal-00960918⟩



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