Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972936" target="_blank" >RIV/49777513:23520/24:43972936 - isvavai.cz</a>
Result on the web
<a href="https://ceur-ws.org/Vol-3740" target="_blank" >https://ceur-ws.org/Vol-3740</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost
Original language description
The third edition of the fungi recognition challenge, FungiCLEF 2024, organized within LifeCLEF, advances the field of mushroom species identification using computer vision and machine learning. Building on the Danish Fungi 2020 dataset and incorporating new data from the CzechFungi app, FungiCLEF 2024 challenges participants to recognize fungi species from images and metadata, focusing on efficient inference and minimalization of edible and poisonous species confusion. The strict limits on computational complexity ensure that the resulting solutions are practical for use in real-world settings with limited computational resources. The competition attracted seven teams, with five outperforming the provided baseline, which was based on the pre-trained EfficientNet-B1 model. This overview paper provides (i) a comprehensive description of the challenge and provided baseline method, (ii) detailed characteristics of the dataset and task specifications, (iii) an examination of the methods employed by contestants, and (iv) a discussion of the competition outcomes. The results highlight incremental advancements in fungi recognition, showcasing innovative approaches and techniques that push the limits of previous work. © 2024 Copyright for this paper by its authors.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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