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:
architecture spoke neighborhood urban coupe building window footwear outdoors transportation sidewalk ga 世界 road outdoor intersection sedan sky tarmac city bag shoe license land street machine storefront tire metropolis path wheel car vehicle light accessories 了 korea sports alloy plate automobile lamppost 签 handbag car wheel shelter
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.