Photos | A Convivial Gathering in Seoul: Food, Friends & Technology
An enchanting blend of technology, food and camaraderie reflecting the urban life of Seoul. Our diverse company of 8 people, including teenage boys, men and adults tastefully accentuated by fashionable accessories, engage in a joyous meal in a bustling food court. Note the modern touch with the juxtaposition of technology - a scene truly representative of the social dining experience in South Korea, 2024.
BLIP-2 Description:
a group of people sitting at a table eating foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
spoon buffet machine room drinking randoms urban furniture dining fast food march hardware fried screen teen cafe glass court indoors accessories bag chicken lunch diner dish brunch pub plate gu glasses building cafeteria snack architecture food monitor utensil interior table boy dinner cutlery cup restaurant meal computer handbag rekognition_c gangnam headgear hat electronics tableware
iso
1250
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.51
longitude
127.06
shutter speed
1/30s
camera make
Apple
camera model
date
2024-03-21T19:45:05.743000+09:00
tzoffset
32400
tzname
GMT+0900
overall
(32.86%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.63%)
harmonious color
(2.11%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-30.86%)
intrusive object presence
(-16.02%)
lively color
(-21.72%)
low light
(44.21%)
noise
(-4.88%)
pleasant camera tilt
(-7.98%)
pleasant composition
(-74.71%)
pleasant lighting
(-44.82%)
pleasant pattern
(8.35%)
pleasant perspective
(-4.28%)
pleasant post processing
(3.25%)
pleasant reflection
(-5.04%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.20%)
tastefully blurred
(-29.22%)
well chosen subject
(-34.47%)
well framed subject
(-27.86%)
well timed shot
(-14.67%)
all
(-9.91%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
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and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
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