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Doomed to Re-Annotate, Forever: The ImageNet Story

ReImageNet reveals ~12% of ImageNet-1k labels are wrong and reannotation boosts top-1 accuracy up to 1.2% for supervised models and 5, 6% for MLLMs.

Illia Volkov, Nikita Kisel, Tetiana Mishkina, Klara Janouskova and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 3 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 3/5