LifeCLEF: tackle machine learning challenges to help boost biodiversity in data science research!

Specifically, the 2021 edition of LifeCLEF includes four challenges:

1. PlantCLEF: cross-domain plant identification based on herbarium sheets,
2. BirdCLEF: bird species recognition in audio soundscapes.
3. GeoLifeCLEF: location-based prediction of species based on environmental and occurrence data.
4. SnakeCLEF: image-based snake identification.

What are the main objectives?

Each participant will develop their own method/algorithm to solve the targeted task. Once ready, the organizers will conduct a comparative study of the developed methods thanks to a standard evaluation dataset; this way, participants will evaluate their technology by comparing it to the state-of-the-art. 

The challenges’ results will be published in technical reports and scientific articles and presented at the Conference on Computer Vision and Pattern Recognition (CVPR), among other things.

Registration information

• More information.
• Interested participants can register here and then follow the instructions of each challenge on the LifeCLEF website (GeoLifeCLEF 2021, BirdCLEF 2021, PlantCLEF 2021, SnakeCLEF 2021).
• Contact: lifeclef-org@inria.fr
• You can sing-up for the event until the 16th of May 2021.
• LifeCLEF 2021 started in March and will close with a workshop in Bucharest in September.

Organizers

LifeCLEF 2021 organizers are: Pl@ntNet, Cos4Cloud, Université de Genève, Cornell Tech, Inria, Technische Universität Chemnitz, Université Monpellier and CNRS (The French National Centre for Scientific Research) and the Faculty of Applied Sciences of the University of West Bohemia.