Photos | The Face of Youth

Kim Han-sol's image appears on a computer screen, part of a file featuring 17 people, 3 teens, and 3 boys all captured on 2014-08-16 in this vivid headshot.
BLIP-2 Description:
a computer screen with a picture of a person on itMetadata
Capture date:
Original Dimensions:
1045w x 1230h - (download 4k)
Usage
Dominant Color:
us diary gone breaking showing times computers huddle choice festival networking sea hit discover attracts centre hacking text register black dawn fills style williams poem bent vegas improve editor's white hannah comment grey reader economy books fix gathering lunch search welcome double life off images online minded york curious august websites dissecting drab days perhaps took meaning print dark locks hackers estate world's summer moma page dimitrov order food tens nicknames spend popular friends top compete governor data monotonous area grand travel restaurant eat global def cyber quotes seek hen columns aim using knowledge vast webpage now slam olympics indoors reprints hallways newspaper sign different like addressing accounts drink articles india used instead bank take lauren learn financial steal many presentations busily commit making weaknesses others convention ft share fall skills open place kenshi arts way house forefront space bacall years weekend security art document old sun world crime teen robin pursuits grigor room adventure hard las obsessively real clip eley subscribe other's con offline new computer sailing toulouse raghuram breaks transformed appreciation fragrances boy flaws magazine kind kim han-sol majority conference hat eecue reserve recent networks greet delegates pm atmosphere management jonathan picking thousands hats powerpoint file drives no poster mischief yonezu cavernous email drenched lautrec markets rajan tables beginners meet home kuchler ambitions companies twitter advertisement
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 busily by can cavernous centre choice clip columns com comment commit companies compete computer computers con conference convention crime curious cyber dark data 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
America/Los_Angeles
curation
(50.00%)
highlight visibility
(2.44%)
behavioral
(70.30%)
failure
(-0.22%)
harmonious color
(1.36%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-84.77%)
intrusive object presence
(-7.74%)
lively color
(5.66%)
noise
(-0.85%)
pleasant camera tilt
(-10.62%)
pleasant composition
(-44.65%)
pleasant lighting
(-14.70%)
pleasant pattern
(1.29%)
pleasant perspective
(4.40%)
pleasant post processing
(4.13%)
pleasant reflection
(1.19%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.51%)
tastefully blurred
(-1.52%)
well chosen subject
(1.23%)
well framed subject
(-8.70%)
well timed shot
(-0.64%)
all
(-3.25%)
* 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.