ANTI-AI ARCHIVE
ART-HISTORY NODE / 081 · 2022

LAION-5B: An open large-scale dataset for training next generation image-text models

LAION-5B: An open large-scale dataset for training next generation image-text models

Christoph Schuhmann et al. / LAION

Historical context & research account

LAION-5B makes a large image–text pair index and filtering methods available, providing data infrastructure relevant to Stable Diffusion and related ecosystems. It also becomes central to disputes about training sources, artists' names and copyright. The master reads this as a shift in which the dataset itself becomes a political object; an index does not confer ownership of linked images.

Dates & version record

Date displayed for this node:2022 · Date recorded in the research master:2022

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Original sources & further reading

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01
LAION-5B: An open large-scale dataset for training next generation image-text models ↗

LAION-5B: An open large-scale dataset for training next generation image-text models

https://arxiv.org/abs/2210.08402

Current cited URL

Provenance, translation & verification

Archive node #081 · Historical node

Research masters & supplement references · 3

AI Art Genealogy Research Master · p. 24 · 081
Date as recorded: 2022
LAION-5B: An open large-scale dataset for training next generation image-text models ↗
LAION-5B: An open large-scale dataset for training next generation image-text models

GenAI Visual Release Chronology Research Master · p. 9 · R040
Date as recorded: 2022-10
LAION-5B: An open large-scale dataset for training next generation image-text models ↗
LAION-5B release/publication

GenAI Visual Release Chronology Research Master · p. 10 · R049
Date as recorded: 2022
LAION-5B: An open large-scale dataset for training next generation image-text models ↗
LAION-5B

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

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Cite this node

ANTI-AI ARCHIVE. LAION-5B: An open large-scale dataset for training next generation image-text models. Art-history node #081. https://salondesrefuses.cn/en/art-history/081

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