Photos | Urban Odyssey in the Heart of Seoul
An early spring morning snapshot captures an anonymous city dweller, engrossed in his metropolitan journey. The contrast of man and the towering advertisement screen brings forth the dichotomy of individuality and commercialism. The city awakens, its vibrant pulse radiating through billboards, cars, buses, and soaring skyscrapers.
BLIP-2 Description:
a man walks past a large screen advertising a new movieChronologically 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 rise neighborhood urban building silhouette footwear metropolitan pedestrian outdoors transportation sidewalk flagstone walkway area condo road outdoor spire intersection sky tarmac city bag shoe tower street wish bicycle metropolis path bus cityscape nature billboards sign single car vehicle electronics screen accessories skyscraper office high downtown korea walking town housing advertisement handbag
iso
100
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T00:35:38.220000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.50%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.90%)
harmonious color
(5.67%)
immersiveness
(3.27%)
interaction
(1.00%)
interesting subject
(-81.84%)
intrusive object presence
(-8.54%)
lively color
(-5.13%)
low light
(13.06%)
noise
(-0.54%)
pleasant camera tilt
(-12.43%)
pleasant composition
(-78.13%)
pleasant lighting
(-50.10%)
pleasant pattern
(3.15%)
pleasant perspective
(1.79%)
pleasant post processing
(1.61%)
pleasant reflection
(-2.66%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.12%)
tastefully blurred
(-20.81%)
well chosen subject
(5.99%)
well framed subject
(-51.12%)
well timed shot
(-4.51%)
all
(-6.58%)
* 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.