LifeCLEF: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification

The LifeCLEF 2025 lab focuses on advancing AI-driven solutions for biodiversity monitoring through challenges on species and individuals recognition and prediction.

Tasks:

  • Task 1 - AnimalCLEF:

    Multi-species individual animal identification.

  • Task 2 - BirdCLEF:

    Bird species identification in soundscape recordings.

  • Task 3 - FungiCLEF:

    Few shot classification with rare fungi species.

  • Task 4 - GeoLifeCLEF:

    Multi-modal species prediction using remote sensing and large-scale biodiversity data.

  • Task 5 - PlantCLEF:

    Multi-species plant identification in vegetation plot images.

Organizers

  • Alexis Joly, Inria and University of Montpellier
  • Lukáš Picek, Inria and University of West Bohemia
  • Hervé Goëau, CIRAD
  • Stefan Kahl, Cornell and Chemnitz University
  • Lukáš Adam, University of West Bohemia

Contact

  • alexis.joly@inria.fr