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ADE20K: detailed scene, object and part annotations

Contribution grade

Visual recognition datasets and evaluation · Evaluation resource design

Reference score160,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Created densely segmented natural-scene annotations with object instances, attributes and hierarchical object parts, supporting scene parsing beyond a small predefined object vocabulary.

Scientific scope

Created densely segmented natural-scene annotations with object instances, attributes and hierarchical object parts, supporting scene parsing beyond a small predefined object vocabulary. Reuses LabelMe/SUN/Places images and LabelMe tooling. A single expert annotation protocol improves consistency but does not eliminate ambiguity/noise; the paper reports repeat-label discrepancies. Training-set part annotations are not exhaustive, unlike the stated validation protocol. Natural-scene annotations are not a biomedical dataset contribution.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Reuses LabelMe/SUN/Places images and LabelMe tooling. A single expert annotation protocol improves consistency but does not eliminate ambiguity/noise; the paper reports repeat-label discrepancies. Training-set part annotations are not exhaustive, unlike the stated validation protocol. Natural-scene annotations are not a biomedical dataset contribution.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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