Computer vision & multimodal· 2009
ImageNet: A Large-Scale Hierarchical Image Database
On the reading lists
- #10 in the Top 500 (2026 edition)
- #4 in Computer vision & multimodal (2026 edition)
Why it matters
Established large-scale visual recognition benchmarks that catalyzed the deep learning revolution.
Condensed from the expert lists' notes.
The record
- First released
- 2009 (from OpenAlex)
- Citations
- 78,060 citations, as counted by
Semantic Scholar (non-commercial licence) - Awards
- CVPR Longuet-Higgins Prize
- Named by
- both expert lists
- Score
- 0.873 · computed rank 10 · consensus 0.91, must-read 1, citations percentile 1 (2000s · vision), awards 1, existing lists 0. Method
Editor's notes
- Readability check: fail: A dataset description: essential history, but it teaches no method to a reader. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.