Photos | Kenshi Yonezu Makes the Front Page
Japanese musician Kenshi Yonezu is featured on the front page of the Daily Mail newspaper, which can be seen on a computer screen in this photo. Thirteen people, including three teens and three boys, are gathered around the monitor to read the article.
BLIP-2 Description:
the front page of the daily mailMetadata
Capture date:
Original Dimensions:
1478w x 1246h - (download 4k)
Usage
Dominant Color:
pc fills hit management curious online bent festival perhaps tools dimitrov dave hallways def food eecue rajan security tables document pm huddle place dawn spend clip like reprints drab articles register global locks days now order space data using drink con moma networking tens crime text meaning drives kuchler sailing thousands monitor computer black art reader sea weekend computers majority different search gathering subscribe hard powerpoint offline busily fix teen learn transformed vast popular us arts books pursuits twitter discover centre hats electronics compete diary open years august columns robin screen real share meet showing picking yonezu cyber poem print summer choice minded aim laptop eat steal networks lautrec raghuram conference comment hacking new recent quotes williams mischief things forefront dark way websites editor's las grey lunch sign attracts times webpage hen boy world's improve knowledge other's bank bacall find monotonous weaknesses world financial top toulouse york seek images appreciation breaking double ambitions markets page commit cavernous grigor home instead lauren took off flaws rekognition_c white fall presentations making old beginners take house gone kind sun accounts friends obsessively hannah no bolloc grand vegas magazine fragrances india skills hardware economy ft file used governor email olympics companies adventure room jonathan kenshi others slam area convention estate many nicknames breaks life reserve delegates hackers hat driven style addressing greet welcome atmosphere dissecting travel drenched eley
Detected Text
1 10 12 15 1m 2 2014 21 22 3 33 4 5 7 aim arts all appreciation art as august bank beginners bent between books breaking bacall bolloc computer con comment commit conference convention dawn def different driven dark dave diary dimitrov discover drink drives each eat editor's estate economy email fall festival flaws forefront friends fills financial food fragrances governor grand grey global greet grigor hard hen hit house hacking hannah home huddle images india improve instead jonathan knowledge kuchler lauren life lunch las lautrec learn management moma networks networking now offline order over old olympics open others picking pm popular print people perhaps place poem powerpoint pursuits real raghuram rajan reader register reprints reserve robin skills slam space steal sun search security seek share summer tools there toulouse us using v vegas vast w way world world's weekend which williams years york a accounts addressing adventure almost ambitions an and are area articles at atmosphere attracts be been black breaks busily by can cavernous centre choice clip columns com companies compete computers crime curious cyber data days delegates dissecting double down drab drenched eley few find fix for from ft gathering gone hackers hallways has hat hats have here how in into is it kind like locks magazine majority making many markets meaning meet minded mischief monotonous more most new nicknames no obsessively of off on online or other other's out presentations quotes recent room sailing sea showing sign spend style subscribe tables take tens that that's the their them they things this those thousands times to took top transformed travel twitter until used very we weaknesses websites welcome where white who with
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* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.