Photos | Breaking News: Hacking Threatens Cybersecurity
Zhong Man and Kenshi Yonezu review an article on a computer screen detailing the dangers of cyber attacks.
BLIP-2 Description:
a computer screen with a newspaper article about hackingMetadata
Capture date:
Original Dimensions:
1045w x 1230h - (download 4k)
Usage
governor different cyber vegas meet old greet days commit cavernous friends house ft breaking real computers sea page off fall kuchler las drink images diary take drenched choice popular top arts double search grigor monotonous share poem dimitrov powerpoint teen financial home huddle like tens others moma fragrances art email seek eecue webpage hard editor's centre subscribe pursuits weaknesses spend computer gathering place bacall bul no summer dawn august perhaps security discover forefront york recent sign travel hat bent olympics def aim raghuram eat jonathan williams newspaper accounts economy showing space style minded steal sailing drab hackers thousands gone new offline nicknames curious reader appreciation hacking kenshi took websites conference way weekend eley crime companies life world used yonezu networks sun columns lautrec markets sheets lauren attracts global atmosphere kind books picking ambitions slam locks presentations reserve dissecting grand adventure estate hit fix text magazine rajan obsessively times mischief open boy zhong man festival file bank twitter compete majority knowledge vast breaks pm room beginners now other's flaws online order con tables articles hannah management years tear meaning many busily using food white area dave comment advertisement world's networking document improve black hats lunch toulouse drives addressing welcome robin fills quotes register us hallways dark reprints transformed learn clio poster hen instead india making data delegates print skills grey convention
Detected Text
1 10 12 15 1m 2 2014 21 22 3 33 4 5 7 a accounts addressing adventure aim all almost ambitions an and appreciation are area art articles arts as at atmosphere attracts august bacall bank be been beginners bent between black books breaking breaks bul busily by can cavernous centre choice clio columns com comment commit companies compete computer computers con conference convention crime curious cyber dark data dave dawn days def delegates diary different dimitrov discover dissecting double down drab drenched drink drives each eat economy editor's eley email estate fall festival few fills financial fix flaws food for forefront fragrances friends from ft gathering global gone governor grand greet grey grigor hackers hacking hallways hannah hard has hat hats have hen here hit home house how huddle images improve in india instead into is it jonathan kind knowledge kuchler las lauren lautrec learn life like locks lunch magazine majority making management many markets meaning meet minded mischief moma monotonous more most networking networks new nicknames no now obsessively of off offline old olympics on online open or order other other's others out over people perhaps picking place pm poem popular powerpoint presentations print pursuits quotes raghuram rajan reader real recent register reprints reserve robin room sailing sea search security seek share showing sign skills slam space spend steal style subscribe summer sun tables take tens that that's the their them there they this those thousands times to took top toulouse transformed travel twitter until us used using v vast vegas very w way we weaknesses websites weekend welcome where which white who williams with world world's years york
date
2014-08-16T14:27:26-07:00
tzoffset
-25200
tzname
GMT-0700
curation
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pleasant camera tilt
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pleasant composition
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pleasant lighting
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pleasant pattern
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pleasant perspective
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pleasant post processing
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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.