Photos | Moonlit Metropolis: A Night in Korea 2024

Showcasing the vivid contrast between the night sky and city lights, this 2024 photo captures an exquisite street scene in Korea. A coupe, boasting gleaming spokes and sleek alloy tires, stands still on a rain-slicked street, drawing attention like a beacon in the night. Behind it unfolds an urban narrative: an intersection dotted with cozy neighborhood storefronts, walking paths, and the occasional voyager navigating through the night. The silent lampposts stand vigil, adding an ethereal charm to this urban photograph.
BLIP-2 Description:
a car parked on a wet street at nightMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tarmac car wheel machine path shelter wheel city urban outdoors intersection vehicle car coupe license sky lamppost transportation storefront accessories bag tire sidewalk window 世界 sedan outdoor street road plate 了 building footwear architecture spoke automobile sports light metropolis korea handbag land 签 ga neighborhood alloy shoe
iso
5000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-22T02:06:06.250000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.39%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.27%)
harmonious color
(4.08%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-75.00%)
intrusive object presence
(-11.47%)
lively color
(-23.23%)
low light
(79.30%)
noise
(-2.59%)
pleasant camera tilt
(-14.42%)
pleasant composition
(-91.21%)
pleasant lighting
(-46.95%)
pleasant pattern
(1.46%)
pleasant perspective
(2.36%)
pleasant post processing
(1.22%)
pleasant reflection
(-5.41%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.12%)
tastefully blurred
(-0.97%)
well chosen subject
(9.41%)
well framed subject
(-55.27%)
well timed shot
(2.92%)
all
(-8.50%)
* 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.