Photos | Illuminated Metropolis: The Grandeur of Korean Nightlife

Taken on March 21, 2024, this captivating snapshot showcases the dynamic blend of urban life in Korea. The massive architectural marvels coated in a symphony of luminescent billboards command the background juxtaposed against the bustle of the city life reflected by pedestrians, buses, and cars. The charming interaction of the people and their environment is beautifully encapsulated, as the city twinkles under the blanket of a starlit sky - truly a ‘Sphere’ of human progress.
BLIP-2 Description:
a large building in the backgroundMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture urban building planetarium footwear globe astronomy metropolitan outdoors transportation sidewalk flagstone walkway area road outdoor furniture outer intersection flooring space sky tarmac city shoe land street bench glasses planet metropolis path bus sphere billboards sign car vehicle accessories skyscraper office korea photography floor
iso
6400
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T04:04:04.640000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.41%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.66%)
harmonious color
(1.47%)
immersiveness
(1.78%)
interaction
(1.00%)
interesting subject
(-42.50%)
intrusive object presence
(-4.79%)
lively color
(-18.04%)
low light
(93.16%)
noise
(-2.83%)
pleasant camera tilt
(-4.74%)
pleasant composition
(-42.02%)
pleasant lighting
(-45.17%)
pleasant pattern
(6.54%)
pleasant perspective
(19.54%)
pleasant post processing
(0.78%)
pleasant reflection
(-3.84%)
pleasant symmetry
(3.42%)
sharply focused subject
(0.49%)
tastefully blurred
(-3.03%)
well chosen subject
(-2.65%)
well framed subject
(-4.96%)
well timed shot
(1.42%)
all
(-2.06%)
* 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.