ImageNet dataset presented at CVPR 2009
Fei-Fei Li's team introduced ImageNet, a large hand-labeled image database organized by the WordNet hierarchy; its annual ILSVRC challenge (from 2010) became the proving ground for deep learning.
Key facts
- Presented at CVPR 2009
- Grew to 14M+ labeled images across ~22,000 categories
- ILSVRC used a 1,000-class subset with ~1.2M training images
- Labeling crowdsourced via Amazon Mechanical Turk
What happened
The ImageNet paper was presented at CVPR in Miami in June 2009, describing a dataset far larger than prior vision benchmarks.
Why it matters
Showed that data scale was a key ingredient of progress; AlexNet's 2012 ImageNet win kicked off the deep learning era.
Changelog
- 2026-09-29: created
Related events
Sources (3)
- paperImageNet: A large-scale hierarchical image database (DOI)
- officialImageNet official site
- discussionWikipedia: ImageNet
id: 2009-06-20-imagenet · updated 2026-09-29 · open in the interactive timeline