Photos | Urban Pulse: The Clock Tower of Seoul, 2024
The pivotal point of downtown cityscape - a majestic building featuring a prominent clock tower at its heart. The embodiment of the vibrant urban life in metropolitan Korea, captured during its peak hustle and bustle. Notice the diverse mix of residential and commercial architecture alongside the network of roads and pathways dotted with the moving poetry of people and vehicles. Also present are the subtle signals of faith highlighted by the temple and shrine amidst the urban sprawl, ticking in sync with the urban rhythm.
BLIP-2 Description:
a large building with a clock tower in the middleMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban clock street pickup truck transportation outdoor eek commercial footwear metropolitan rise path tower prayer housing condo city truck automobile car sidewalk building korea skyscraper arch intersection shoe outdoors fire shrine neighborhood office area plant downtown metropolis cityscape branch road vehicle high hydrant architecture machine apartment light spire traffic temple pagoda walkway shelter land
iso
125
metering mode
5
aperture
f/3.2
focal length
30mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(47.88%)
curation
(60.00%)
highlight visibility
(4.58%)
behavioral
(70.63%)
failure
(-0.22%)
harmonious color
(-1.25%)
immersiveness
(1.03%)
interaction
(2.00%)
interesting subject
(-4.57%)
intrusive object presence
(-12.33%)
lively color
(-12.36%)
low light
(3.13%)
noise
(-2.42%)
pleasant camera tilt
(-5.67%)
pleasant composition
(-40.80%)
pleasant lighting
(-10.89%)
pleasant pattern
(7.98%)
pleasant perspective
(31.64%)
pleasant post processing
(-0.35%)
pleasant reflection
(-6.74%)
pleasant symmetry
(2.98%)
sharply focused subject
(0.56%)
tastefully blurred
(-0.90%)
well chosen subject
(-0.90%)
well framed subject
(3.02%)
well timed shot
(1.63%)
all
(2.09%)
* 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.