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Overview of FungiCLEF 2025: Few-shot classification with rare fungi species

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00388421" target="_blank" >RIV/68407700:21230/25:00388421 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23520/25:43976596

  • Result on the web

    <a href="https://ceur-ws.org/Vol-4038/paper_233.pdf" target="_blank" >https://ceur-ws.org/Vol-4038/paper_233.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Overview of FungiCLEF 2025: Few-shot classification with rare fungi species

  • Original language description

    FungiCLEF 2025, the 4th edition of the FungiCLEF challenge, was organized as part of the LifeCLEF and the FGVC workshops. This year’s edition targeted few-shot classification of rare fungi species. Participants were tasked with identifying species from multimodal observations, including images, structured metadata, and environmental data. The data was collected through citizen science and underwent expert-based labeling. Building upon the FungiTastic dataset, FungiCLEF 2025 emphasized real-world constraints such as limited training samples, high intra-class variability, fine-grained inter-class similarities, and distribution shift. The competition attracted 74 teams, with the leading submissions demonstrating significant gains over the provided baselines, showcasing the potential of pretrained vision transformers, contrastive learning, and ensemble techniques. This overview summarizes the challenge setup, dataset, baselines, participant strategies, and key findings, and outlines directions for future work. The winning team achieved a top-5 accuracy of 78.9%, outperforming baselines by over 52%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/SS73020004" target="_blank" >SS73020004: FunDive: Monitoring and mapping fungal diversity for nature conservation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2025)

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    2920-2931

  • Publisher name

    CEUR Workshop Proceedings

  • Place of publication

    Aachen

  • Event location

    Madrid

  • Event date

    Sep 9, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article