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_editions/2025/tasks/synthim.md

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#### Quest for insight
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Here are several research questions related to this challenge that participants can strive to answer in order to go beyond just looking at the evaluation metrics:
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* Are the synthetic images and image regions that are challenging to detect automatically also challenging for people looking at the images to see?
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* What are the characteristics of the false positives, i.e., of non-synthetic images or image regions that are misclassified as synthetic? Are there any generalizations in terms of perceived quality or image semantics?
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* Are there characteristics (semantic content, framing) that are specific to the in-the-wild examples?
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#### Participant information
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<!-- Please contact your task organizers with any questions on these points. -->

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