ANTI-AI ARCHIVE
ART-HISTORY NODE / 041 · 2009

ImageNet: A Large-Scale Hierarchical Image Database

ImageNet: A Large-Scale Hierarchical Image Database

Jia Deng; Wei Dong; Richard Socher; Li-Jia Li; Kai Li; Li Fei-Fei

Historical context & research account

ImageNet connects WordNet's semantic hierarchy with millions of images and uses crowdsourcing for annotation. The master interprets this as a Dataset Turn: cultural and everyday images become organised as scalable resources for machine learning and comparison, alongside their existence as things people view. This turn is an editorial framework, not a neutral period label.

Dates & version record

Date displayed for this node:2009 · Date recorded in the research master:2009

These dates refer to the historical event or recorded version, not this page’s publication date. The original date precision and unresolved questions are retained.

Original sources & further reading

These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.

01
ImageNet: A Large-Scale Hierarchical Image Database ↗

ImageNet: A Large-Scale Hierarchical Image Database

https://doi.org/10.1109/CVPR.2009.5206848

Current cited URL

Provenance, translation & verification

Archive node #041 · Historical node

Research masters & supplement references · 1

AI Art Genealogy Research Master · p. 14 · 041
Date as recorded: 2009
ImageNet: A Large-Scale Hierarchical Image Database ↗
ImageNet: A Large-Scale Hierarchical Image Database

Archive account adapted from the masters, not a full translation of the linked work. AI-assisted translation; human review pending.

The master’s research claims and dates await independent verification.

Cite this node

ANTI-AI ARCHIVE. ImageNet: A Large-Scale Hierarchical Image Database. Art-history node #041. https://salondesrefuses.cn/en/art-history/041

For specific historical claims, also cite the original sources above and include your access date. This account is not a full translation of the linked work.

Adjacent nodes follow chronological order; adjacency does not establish direct influence or causation.