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Open Images V4: unified labels, boxes and visual relationships

Contribution grade

Computer-vision training resources · Human-designed research method or resource

Reference score125,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined image-level labels, object boxes and visual-relationship annotations at scale in one image collection, with annotation-quality studies and baseline model analyses.

Scientific scope

Combined image-level labels, object boxes and visual-relationship annotations at scale in one image collection, with annotation-quality studies and baseline model analyses. Original2018V4 eleven-person byline and dataset scope retained; later V5–V7 counts/features not imported. This is dataset/annotation infrastructure, not invention of recognition architectures. Labels and relationship vocabularies are selective and annotator quality is empirical; no universal annotation completeness or current image-rights status inferred.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Original2018V4 eleven-person byline and dataset scope retained; later V5–V7 counts/features not imported. This is dataset/annotation infrastructure, not invention of recognition architectures. Labels and relationship vocabularies are selective and annotator quality is empirical; no universal annotation completeness or current image-rights status inferred.

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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