Connectionists: Call For Participation: ImageCLEF 2026: Multimodal Challenges in Medicine, Science, Agritech, and Security

[Cristian Stanciu]

[Apologies for multiple postings]

*ImageCLEF 2026: Multimodal Challenges in Medicine, Science, Agritech, and
Security*
http://www.imageclef.org/2026/


****CALL FOR PARTICIPATION****

ImageCLEF 2026 is an evaluation campaign that is being organized as part of
the CLEF (Conference and Labs of the Evaluation Forum) 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) and are presented in
the CLEF conference. 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.

Target communities involve (but are not limited to): information retrieval
(text, vision, audio, multimedia, social media, sensor data, etc.), machine
learning, deep learning, data mining, natural language processing, image
and video processing, computer vision, with special attention to the
challenges of multi-modality, multi-linguality, and data generation.

****2026 Tasks****

ImageCLEFmedical Caption: Concept Detection, Caption Prediction and
Explainability in Radiology images
ImageCLEFmedical Visual Question Answering for Gastrointestinal (GI) Imaging
ImageCLEFmedical GANs: Evaluation of Quality and Privacy in Synthetic
Medical Images Created via GANs
ImageCLEFmedical MEDIQA-CORE: Multimodal Reasoning & Reconciliation in
Radiology,
ImageCLEF ToPicto: Text-to-Pictogram Translation and Pictogram Prediction
ImageCLEF Multimodal Reasoning: Multi-domain, Multi-language Viaual
Question Answering
ImageCLEF Ai4Agriculture: AI in Agriculture, Agriculture Potential
Estimation, Crop Identification
ImageCLEF Deepfake: Few-Shot Deepfake Generation and Deepfake Detection in
Images and Audio


*#ImageCLEFmedical Caption (10th edition)*
https://www.imageclef.org/2026/medical/caption

Interpreting and summarizing the insights gained from medical images such
as radiology output is a time-consuming task that involves highly trained
experts and often represents a bottleneck in clinical diagnosis pipelines.
The Automatic Image Captioning task is split into 2 subtasks: Concept
Detection Task, based on identifying the presence and location of relevant
concepts in a large corpus of medical images and the Caption Prediction
Task, where participating systems are tasked with composing coherent
captions for the entirety of an image.


*#ImageCLEFmedical Visual Question Answering (4th edition)*
https://www.imageclef.org/2026/medical/medvqa-gi

The 4th MEDVQA-GI challenge advances Visual Question Answering (VQA) for
gastrointestinal (GI) imaging with a continued emphasis on explainability,
clinical safety, and multimodal reasoning. The first subtask focuses on
developing models to accurately answer clinically relevant questions from
GI endoscopy images, while the second subtask focuses on explainability
through multimodal justifications, that combine textual and visual evidence
aligned with medical reasoning.


*#ImageCLEFmedical GANs (4th edition)*
https://www.imageclef.org/2026/medical/gans

ImageCLEFmedical-GANs 2026 evaluates the quality and privacy of synthetic
tuberculosis CT images, with a new generation task requiring participants
to produce images while analyzing risks of patient re-identification and
data leakage.


*#ImageCLEFmedical MEDIQA-CORE (1st edition)*
https://www.imageclef.org/2026/medical/mediqa-core

The new MEDIQA-CORE 2026 task focuses on multimodal reasoning in radiology,
evaluating models on tumor diagnosis using images and reports and on
detecting and reconciling discrepancies between conflicting radiology
interpretations.


*#ImageCLEF ToPicto (3rd edition)*
https://www.imageclef.org/2026/topicto

ImageCLEFtoPicto 2026 aims to advance research on automatically converting
written English text into meaningful sequences of pictograms to support
alternative and augmentative communication. The challenge introduces an
English text-to-pictogram translation task using aligned text and pictogram
data, as well as a new task focused on predicting the most likely next
pictogram in an ongoing sequence.


*#ImageCLEF Multimodal Reasoning (2nd edition)*
https://www.imageclef.org/2026/multimodalreasoning

The second edition of the Multimodal Reasoning task evaluates the reasoning
abilities of vision–language models through multilingual visual question
answering, expanding the multiple-choice setting and introducing open-ended
questions that require generating answers directly from visual and textual
content.


*#ImageCLEF Ai4Agriculture (1st edition)*
https://www.imageclef.org/2026/ai4agri

The AI for agriculture task includes two sub-tasks: AgriPotential, which
evaluates models’ ability to estimate land suitability for different crop
types using multi-temporal and multi-spectral Sentinel-2 imagery from
southern France, and DACIA5, which focuses on crop identification and early
crop recognition using Sentinel-1 and Sentinel-2 data over agricultural
parcels in Romania.


*#ImageCLEF Deepfake (1st edition)*
https://www.imageclef.org/2026/deepfake-detection-and-generation

The first edition of the Deepfake task evaluates both generation and
detection of visual and audio deepfakes, measuring how convincingly
deepfakes can be created and how effectively state-of-the-art methods can
detect them across multiple evaluation criteria.

**** IMPORTANT DATES ****
(may vary depending on the task)
- Run submission deadline: May 7, 2026
- Working notes submission: May 28, 2026
- CLEF 2026 conference: September 21-24, 2026, Jena, Germany

**** REGISTRATION ****
For registration, follow the instructions here:
https://www.imageclef.org/2026, in the "Participant registration" section.


**** OVERALL COORDINATION ****
Bogdan Ionescu, Politehnica University of Bucharest, Romania
Henning Müller, HES-SO, Sierre, Switzerland
Cristian Stanciu, Politehnica University of Bucharest, Romania


On behalf of the organizers,

Cristian Stanciu
https://www.aimultimedialab.ro/
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