Photos | Interplay of Lights and Shadows in Urban Korea

Captured on the bustling streets of Metropolitan Korea, this image showcases a dominating skyscraper adorned with an electronic billboard, against the night sky. In spite of just nine people visibly dotted along the illuminated streetscape, the scene vividly personifies the 24/7 lifestyle of a urban metropolis, where even in the late hours, life pulses with energy under the blanket of stars. The juxtaposition of high-rise architecture with the dynamic cityscape makes for a compelling snapshot of modern-day urban Korea.
BLIP-2 Description:
a large building with a large sign on itMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
lighting housing city urban outdoors hardware apartment building screen car vehicle sky tv high transportation downtown area billboards sign tower outdoor street road night computer hardware building footwear architecture skyscraper monitor office rise metropolis condo korea advertisement hat center scoreboard convention nature electronics metropolitan shoe
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T04:02:22.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.07%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.27%)
harmonious color
(8.57%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(-7.50%)
intrusive object presence
(-4.22%)
lively color
(-11.38%)
low light
(99.90%)
noise
(-3.17%)
pleasant camera tilt
(-11.49%)
pleasant composition
(-52.34%)
pleasant lighting
(-19.26%)
pleasant pattern
(6.64%)
pleasant perspective
(22.69%)
pleasant post processing
(2.19%)
pleasant reflection
(-4.15%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.22%)
tastefully blurred
(-4.01%)
well chosen subject
(3.96%)
well framed subject
(-19.93%)
well timed shot
(8.09%)
all
(1.55%)
* 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.