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ImageNet: a large visual learning resource

Contribution grade

Machine-learning datasets · Scoped scientific or research-capability contribution

Reference score60,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

ImageNet organized a large collection of labeled images around a semantic hierarchy, providing a reusable resource for visual recognition research.

Scientific scope

ImageNet organized a large collection of labeled images around a semantic hierarchy, providing a reusable resource for visual recognition research. Scope limitation: The dataset is a human-created research resource. Dataset construction, competition performance and subsequent model discoveries are separate contributions; this entry does not reproduce or redistribute its images.

Evidence

Assessment uses the catalogue-linked source evidence for the stated contribution. The dataset is a human-created research resource. Dataset construction, competition performance and subsequent model discoveries are separate contributions; this entry does not reproduce or redistribute its images.

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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