Photos | Neon Nights: Korea's Urban Jungle
Illuminated by an immense billboard, pedestrians cross a bustling intersection in downtown Korea under the serenade of the night sky. Within the heart of the metropolis, the pulse of advertising and media comes to life on monumental electronics screens, a testament to the city's constant evolution and vibrancy. (Captured March 21, 2024)
BLIP-2 Description:
people walk by a large billboard at nightChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture rise vibe hydrant urban building footwear metropolitan outdoors transportation hat area road outdoor intersection sky city bag shoe land billboard street hardware fire glasses metropolis bus nature billboards sign electronics car vehicle screen accessories skyscraper monitor office night high downtown korea walking lighting media keep tv advertisement advertising computer handbag cinema
iso
6400
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T04:03:34.260000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.60%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.76%)
harmonious color
(1.57%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-44.75%)
intrusive object presence
(-19.58%)
lively color
(-2.97%)
low light
(99.80%)
noise
(-2.91%)
pleasant camera tilt
(-14.15%)
pleasant composition
(-69.63%)
pleasant lighting
(-40.55%)
pleasant pattern
(3.30%)
pleasant perspective
(7.57%)
pleasant post processing
(-0.69%)
pleasant reflection
(-3.08%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.10%)
tastefully blurred
(-10.58%)
well chosen subject
(-3.81%)
well framed subject
(-38.28%)
well timed shot
(1.45%)
all
(-4.78%)
* 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.