FungiCLEF 2022

Tentative Schedule

• Jan 2022: registration opens for all LifeCLEF challenges
• 13 Feb 2022: training data release
• 13 May 2022: deadline for submission of runs by participants
• 20 May 2022: release of processed results by the task organizers
• 27 May 2022: deadline for submission of working note papers by participants [CEUR-WS proceedings]
• June 2022: notification of acceptance of working note papers [CEUR-WS proceedings]
• July 2022: camera ready working note papers by participants and organizers
• 5-9 Sept 2022: CLEF 2022 Università di Bologna

Motivation

Automatic recognition of fungi species assists mycologists, citizen scientists and nature enthusiasts in species identification in the wild. Its availability supports the collection of valuable biodiversity data. In practice, species identification typically does not depend solely on the visual observation of the specimen but also on other information available to the observer — such as habitat, substrate, location and time. Thanks to rich metadata, precise annotations, and baselines available to all competitors, the challenge provides a benchmark for image recognition with the use of additional information. Moreover, the toxicity of a mushroom can be crucial for the decision of a mushroom picker. We will explore the decision process within the competition beyond the commonly assumed 0/1 cost function.

Data

The challenge dataset is based on the data from the Danish Fungi 2020 dataset, which contains 295,938 training images belonging to 1,604 species observed mostly in Denmark. All training samples passed an expert validation process, guaranteeing high-quality labels. Rich observation metadata about habitat, substrate, time, location, EXIF etc. are provided.

The test set contains 59,420 observations with 118,676 images and 3,134 species, covering the whole year and includes observations collected across all substrate and habitat types.

The FungiCLEF2022 competition is based on data submited to the Atlas of Danish Fungi.

Images

• Development set - Full Size (Including Exif) [~110Gb]
• Development set - Small Images (Max. side size of 300px) (No Exif) [~6.5Gb]
• Test set - Full Size
• Test set - Small Size (Max. side size of 300px)(No Exif)

Metadata

• Train metadata
• Test metadata

Task description

Given the set of fungi observations — multiple photographs of the same individual — and coresponding observation metadata, the goal of the task is to return for each image a ranked list of 3 species sorted according to the likelihood that they might have been observed at that location.

How to participate ?

1. Subscribe to CLEF (LifeCLEF - FungiCLEF task) by filling this form. .
2. Go to the Kaggle FungiCLEF2022 challenge page.

Publication

LifeCLEF 2022 is an evaluation campaign that is being organized as part of the CLEF initiative labs. The campaign offers several research tasks that welcome participation from teams around the world.

The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org).
Selected contributions among the participants will be invited for publication in the following year in the Springer Lecture Notes in Computer Science (LNCS) together with the annual lab overviews.

Organizers

Machine Learning

• Lukas Picek, Dept. of Cybernetics, FAV, University of West Bohemia, Czechia, lukaspicek@gmail.com
• Milan Sulc, Rossum.ai, Czechia, milansulc01@gmail.com
• Jiri Matas, The Center for Machine Perception Dept. of Cybernetics, FEE, Czech Technical University, Czechia, matas@cmp.felk.cvut.cz

Mycology

• Jacob Heilmann-Clausen, Center for Macroecology, Evolution and Climate University of Copenhagen, Denmark, jheilmann-clausen@sund.ku.dk

Acknowledgement