Photos | Midnight Metropolis: Seoul by Night
Emerging from the shadows, the vibrant streets of Seoul breathe life into the quiet night. Surrounded by towering skyscrapers and unmissable billboards, this bustling city-scape captures the essence of Seoul's night-time allure. From the playful dance of bright lights to the silent stories of folks wandering the city, this depiction on June 28, 2023, is a testament to the soulful charm and urban sophistication of South Korea's capital. And if you look closely, the clock tower chimes a daring tale of technology merging with time-old traditions.
BLIP-2 Description:
a city street at night with tall buildings and billboardsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
advertisement urban clock street night computer transportation dior outdoor office building parnas randoms metropolitan gangnam-gu tower sky city billboards sauvage car hardware building skyscraper ge sign electronics area metropolis cityscape road screen vehicle architecture life monitor night sky land
iso
800
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.51
longitude
127.06
shutter speed
1/40s
camera make
Apple
camera model
overall
(41.04%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.39%)
harmonious color
(2.43%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-29.93%)
intrusive object presence
(-5.49%)
lively color
(-22.92%)
low light
(94.82%)
noise
(-4.74%)
pleasant camera tilt
(-12.87%)
pleasant composition
(-50.63%)
pleasant lighting
(-21.51%)
pleasant pattern
(5.74%)
pleasant perspective
(17.20%)
pleasant post processing
(3.99%)
pleasant reflection
(-7.13%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.27%)
tastefully blurred
(-15.21%)
well chosen subject
(1.06%)
well framed subject
(-12.07%)
well timed shot
(-3.52%)
all
(-1.83%)
* 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,
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and album metadata from the image and are
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