LifeCLEF Plant Identification Task 2015
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911183474262016 |
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| author | Goeau, Herve Bonnet, Pierre Joly, Alexis |
| author_facet | Goeau, Herve Bonnet, Pierre Joly, Alexis |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_23891 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LifeCLEF Plant Identification Task 2015 Goeau, Herve Bonnet, Pierre Joly, Alexis Computer Vision and Pattern Recognition 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. |
| title | LifeCLEF Plant Identification Task 2015 |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2509.23891 |