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:
travel tens sun websites reserve curious pm raghuram take networking us obsessively sign hackers monitor skills recent festival compete hard order reprints steal jonathan networks security choice hat pc vegas room dimitrov yonezu books online con twitter york financial tools screen diary huddle locks white beginners hacking fragrances gathering area fills convention text document times other's sailing laptop real discover management atmosphere fall food breaks ambitions drives electronics conference meet black bolloc lauren many picking global subscribe grigor estate world tables drink hats bank arts top dissecting meaning kenshi page boy slam things las summer art mischief comment perhaps email house magazine learn flaws minded showing used thousands articles grey toulouse hit search hen quotes kind breaking open place style crime nicknames webpage gone way others def eecue grand now rajan hallways attracts reader clip moma weekend accounts dave lautrec eley majority old computer olympics busily print appreciation hannah improve columns instead years computers cyber markets ft home weaknesses share pursuits transformed addressing poem like images dark vast kuchler driven lunch economy using forefront offline cavernous commit dawn sea governor teen spend space companies india popular greet adventure august data drenched hardware off eat robin powerpoint bacall bent making file monotonous knowledge no editor's register centre seek delegates life williams rekognition_c fix drab aim days double presentations different took welcome world's friends new find
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 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 other others picking pm print people perhaps place poem popular powerpoint pursuits real raghuram rajan reader register reprints reserve robin skills slam space steal sun search security seek share summer tools toulouse us 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 dark 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's out presentations quotes recent room sailing sea showing sign spend style subscribe tables take tens that that's the their them there they things this those thousands times to took top transformed travel twitter until used using 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 with AI (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.