Photos | A Convivial Evening in Korea
Famed director Cheang Pou-soi with friends, engaged in hearty conversations over dinner in a welcoming Korean restaurant (March, 2024). The table is abuzz with local cuisine, craft beer, and shared laughter, underscoring the beautiful fusion of tradition, culinary exploration and camaraderie.
BLIP-2 Description:
a group of people sitting at a table with drinksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture dining table glass beer cafeteria boy tableware building meal pub food beverage dish shaker dinner restaurant furniture utensil court container wood cheang pou-soi drinking hardware alcohol glasses indoors lunch teen tabletop dining electronics bread stew screen table room accessories monitor goblet korea couch plate part cup computer bottle
iso
16000
metering mode
5
aperture
f/2.8
focal length
28mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2024-03-21T04:54:38.720000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.46%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.22%)
harmonious color
(2.92%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(26.32%)
intrusive object presence
(-45.92%)
lively color
(-29.35%)
low light
(20.87%)
noise
(-1.93%)
pleasant camera tilt
(-5.91%)
pleasant composition
(-83.64%)
pleasant lighting
(-15.50%)
pleasant pattern
(0.85%)
pleasant perspective
(12.47%)
pleasant post processing
(-1.34%)
pleasant reflection
(-1.73%)
pleasant symmetry
(0.29%)
sharply focused subject
(1.22%)
tastefully blurred
(-14.14%)
well chosen subject
(-21.52%)
well framed subject
(28.56%)
well timed shot
(16.56%)
all
(-3.33%)
* 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.