Photos | Urban Odyssey in Korea 2024

A man stands tall amidst the pulsating heart of Korea, embodying the urban spirit. Encircled by towering skyscrapers, vibrant city lights, and the symphony of metropolis life; this image captures the essence of urban living in a dense landscape, showcasing the interplay between man, architecture, and nature. Nowhere are the signs of the city's unrelenting pace better illustrated than on this sidewalk - a microcosm of life's ongoing journey.
BLIP-2 Description:
a man stands on a sidewalk in front of a cityMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
housing path walkway city urban outdoors wildlife intersection car vehicle bear jeans sky crane construction freeway transportation high rise mammal downtown formal accessories bag sidewalk photography area traffic outdoor animal street pants road building footwear architecture skyscraper suit office light metropolis coat condo standing railing korea pedestrian walking handbag bus wear land cloudy hat neighborhood shoe
iso
320
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-03-21T22:25:54.300000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.65%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.66%)
harmonious color
(-3.70%)
immersiveness
(2.88%)
interaction
(1.00%)
interesting subject
(-29.13%)
intrusive object presence
(-6.67%)
lively color
(-15.75%)
low light
(8.59%)
noise
(-2.59%)
pleasant camera tilt
(-5.93%)
pleasant composition
(-21.37%)
pleasant lighting
(-20.59%)
pleasant pattern
(7.40%)
pleasant perspective
(20.80%)
pleasant post processing
(0.57%)
pleasant reflection
(0.85%)
pleasant symmetry
(1.44%)
sharply focused subject
(0.63%)
tastefully blurred
(-9.24%)
well chosen subject
(-9.20%)
well framed subject
(-3.73%)
well timed shot
(3.47%)
all
(1.35%)
* 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.