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
- Jia Deng · SCIENCE: Named source contributor; exact labor shares are not measured.
- Wei Dong · SCIENCE: Named source contributor; exact labor shares are not measured.
- Richard Socher · SCIENCE: Named source contributor; exact labor shares are not measured.
- Li-Jia Li · SCIENCE: Named source contributor; exact labor shares are not measured.
- Kai Li · SCIENCE: Named source contributor; exact labor shares are not measured.
- Li Fei-Fei · SCIENCE: Named source contributor; exact labor shares are not measured.
- ImageNet: A large-scale hierarchical image database
- ImageNet: A large-scale hierarchical image database — deposited bibliography
- ImageNet project and original-paper citation
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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