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LifeCLEF Plant Identification Task 2015

arXiv 2509.23891 ↗First posted 28 Sep 2025cs.CVcited by 0

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Abstract (arXiv)

The LifeCLEF plant identification challenge aims at evaluating plant identification methods and systems at a very large scale, close to the conditions of a real-world biodiversity monitoring scenario. The 2015 evaluation was actually conducted on a set of more than 100K images illustrating 1000 plant species living in West Europe. The main originality of this dataset is that it was built through a large-scale participatory sensing plateform initiated in 2011 and which now involves tens of thousands of contributors. This overview presents more precisely the resources and assessments of the challenge, summarizes the approaches and systems employed by the participating research groups, and provides an analysis of the main outcomes.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 30 references that are in the map. First posted on arXiv 28 Sep 2025.

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References · 2

  1. 2014Going Deeper with Convolutionscited by 4,241
  2. 2014PCANet: A Simple Deep Learning Baseline for Image Classification?cited by 70

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