Photos | Clock Tower Amidst The Urban Hustle
An iconic clock tower reaches skywards amidst the urban hustle and bustle of Korea in 2024. The photograph captures a moment of serenity beneath the cloudless sky, while people, vehicles, and cycling enthusiasts navigate the complex harmony of city life. A sport SUV, bicycles and pedestrians converge at the intersection, blending the old world charm of architecture with the modern metropolis.
BLIP-2 Description:
a building with a clock tower on top of itChronologically 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 compact spoke neighborhood urban building window transportation sidewalk area road outdoor intersection sky tarmac city bag license land suv street machine glasses bicycle tire path helmet metropolis wheel rekognition_c car vehicle sport light accessories utility office recreation cycling korea town alloy plate automobile lamppost handbag car wheel
iso
250
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T00:38:31.900000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.29%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.27%)
harmonious color
(-2.22%)
immersiveness
(1.25%)
interaction
(1.00%)
interesting subject
(-23.79%)
intrusive object presence
(-19.02%)
lively color
(-13.77%)
low light
(9.11%)
noise
(-1.20%)
pleasant camera tilt
(-5.07%)
pleasant composition
(-57.57%)
pleasant lighting
(-23.77%)
pleasant pattern
(14.65%)
pleasant perspective
(22.44%)
pleasant post processing
(-0.59%)
pleasant reflection
(0.98%)
pleasant symmetry
(4.08%)
sharply focused subject
(1.20%)
tastefully blurred
(3.38%)
well chosen subject
(1.83%)
well framed subject
(-3.71%)
well timed shot
(-1.87%)
all
(-0.49%)
* 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.