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:
architecture cutlery glass cafeteria headgear boy spoon tableware urban building meal pub food brunch buffet dish hat dinner restaurant furniture gangnam utensil court gu bag drinking diner hardware machine randoms glasses indoors lunch teen dining interior rekognition_c electronics screen table accessories room monitor fast food cafe fried plate snack cup computer handbag march chicken
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,
people
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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