CVUT Releases ReImageNet: Complete Reannotation of ImageNet-1k Validation Set
ducha_aiki · x · 2026-08-21
CVUT team has released ReImageNet, a comprehensive reannotation of the ImageNet-1k validation set. Years in the making, it includes multilabel correction, object localization (bounding boxes), revised class definitions, and semantic attributes (e.g., crowd, reflected, rendition). Users can browse reannotated images across 1,000 classes via a preview website and submit change proposals. The dataset aims to address noise and ambiguity in original annotations.
Related event: ReImageNet Released: Re-Annotation Exposes 12% Label Errors in ImageNet(3 posts)→
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