Photos | Urban Velocity: A Journey Through Seoul

A captivating snapshot from March 2024 showcasing the vibrant and dynamic life of Seoul, South Korea. The fusion of nature and skyscraping feats of architecture paint a unique backdrop as cars race along the highway, illuminating the palpable sense of hustle and bustle in this urban metropolis. Even the foggy smear in the distance, possibly due to weather or pollution, adds a touch of mystery to this cityscape view. Witness a slice of daily life in Seoul - a city that never stands still.
BLIP-2 Description:
a car driving on a highway with a city in the backgroundMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture weather rise neighborhood urban building apartment outdoors transportation highway area condo road outdoor fog freeway sky city license land machine randoms smog water pollution waterfront metropolis bus cityscape nature smoke car vehicle skyscraper office high downtown housing plate automobile cloudy march
iso
50
metering mode
5
aperture
f/2.8
focal length
16mm
latitude
37.51
longitude
126.96
shutter speed
1/234s
camera make
Apple
camera model
date
2024-03-23T11:58:53.846000+09:00
tzoffset
32400
tzname
GMT+0900
overall
(32.20%)
curation
(60.00%)
highlight visibility
(81.45%)
behavioral
(70.55%)
failure
(-0.88%)
harmonious color
(2.00%)
immersiveness
(1.95%)
interaction
(4.00%)
interesting subject
(-50.49%)
intrusive object presence
(-58.64%)
lively color
(-14.86%)
low light
(0.49%)
noise
(-0.66%)
pleasant camera tilt
(-13.17%)
pleasant composition
(-67.92%)
pleasant lighting
(-35.38%)
pleasant pattern
(5.32%)
pleasant perspective
(7.07%)
pleasant post processing
(2.18%)
pleasant reflection
(-5.24%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.15%)
tastefully blurred
(-12.60%)
well chosen subject
(-6.98%)
well framed subject
(-23.47%)
well timed shot
(0.66%)
all
(-5.19%)
* 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.