LifeCLEF Plant Identification Task 2015

TL;DR

The LifeCLEF 2015 challenge evaluated large-scale plant identification methods using over 100,000 images of 1,000 species from West Europe, emphasizing real-world biodiversity monitoring conditions.

Contribution

This paper introduces a large-scale participatory sensing dataset and benchmark for plant identification, and analyzes diverse approaches and their effectiveness.

Findings

Successful identification of plant species at large scale

Diverse system approaches with varying accuracy

Insights into challenges of real-world plant identification

Abstract

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.