ImageNet dataset presented at CVPR 2009
Confirmed
Importance: historic (5 of 5)The takeaway
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.
Status
- Claim
Confirmed
- Our reporting
- High confidence
- Importance
- Historic (5 of 5)
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 AstraIn its training data
- Claude Opus 5.5In its training data
- Gemini 4 HydrogenIn its training data
- Grok 4.7In its training data
It happened before the cutoffs of all four assistants, so it can be in their training data.
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.
Sources
3 sources from 3 sites. Numbers match the chips in the text.
3 sources: 2 primary, 1 reaction
Primary
- ImageNet: A large-scale hierarchical image database (DOI)doi.org, paper
- ImageNet official siteimage-net.org, official
Reactions
- Wikipedia: ImageNeten.wikipedia.org, discussion
Changes
- Filed