Photos | A Convivial Gathering in Seoul

Yang Yongliang and friends come together for a delightful meal amidst the bustling Seoul cityscape. This snapshot from March 2024 captures their shared joy at the dining table, infused with the vibrant energy of urban life. Each plate tells a story, creating a tapestry of conversation, friendship, and gastronomical delights.
BLIP-2 Description:
a group of people sitting at a table with plates of foodMetadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
architecture cafeteria boy tableware urban bowl building meal bangi food window child mobile brunch dish wristwatch restaurant furniture utensil court wood songpa gu breakfast randoms glasses indoors lunch tabletop dining interior electronics yang yongliang dong table accessories room plate phone march
iso
200
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.52
longitude
127.11
shutter speed
1/120s
camera make
Apple
camera model
date
2024-03-19T17:27:55.111000+09:00
tzoffset
32400
tzname
GMT+0900
overall
(33.74%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.32%)
harmonious color
(1.37%)
immersiveness
(0.24%)
interaction
(2.00%)
interesting subject
(-17.09%)
intrusive object presence
(-12.28%)
lively color
(-5.57%)
low light
(5.79%)
noise
(-3.91%)
pleasant camera tilt
(-11.24%)
pleasant composition
(-60.55%)
pleasant lighting
(-36.30%)
pleasant pattern
(10.82%)
pleasant perspective
(-4.31%)
pleasant post processing
(2.17%)
pleasant reflection
(-3.28%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.51%)
tastefully blurred
(-15.00%)
well chosen subject
(-33.96%)
well framed subject
(-22.13%)
well timed shot
(-2.35%)
all
(-6.04%)
* 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-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,
just reach out.