ImageCLEF

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ImageCLEF is an ongoing evaluation event that started in 2003, promoting the evaluation of technologies for annotating, indexing, retrieving, and generating multimodal data, and aiming to provide access to large collections of data across a veriety of scenarios, domains and contexts.

Tasks

The ImageCLEF Lab features five different tasks:

ImageCLEF Medical
The task approaches a wide array of problems in the medical field, like concept detection, caption prediction, explainability, security in AI generated images, tumor typing correction, medical report discrepancy summarization or visual question answering and synthetic medical image generation.
ToPicto
Text to pictogram translation and pictogram sequence prediction.
MultimodalReasoning
Multilingual, Interdisciplinary visual question answering.
AI4AGRI
Prediction of agricultural potential before planting and crop type identification.
ImageCLEF-Deepfake
Detection and generation of deepfakes in visual and audio data.

Organizers

  • Bogdan Ionescu (Politehnica University of Bucharest, Romania)
  • Henning Müller (HES-SO, Switzerland)
  • Dan-Cristian Stanciu (Politehnica University of Bucharest, Romania)