Photos | Vibrant Nightlife in Seoul

Taken on the bustling streets of Seoul on July 30, 2024, this photograph captures the urban energy of the city after dark. Seven locals, adorned in their distinct styles of clothing and accessories, navigate their path on the sidewalk, their backpacks and bags hinting at their various destinations. The glow from the storefronts adds a warm lighting element to this nocturnal cityscape. Witness here, the unique mix of traditional and modern lifestyle intertwining in the heart of South Korea’s metropolis.
BLIP-2 Description:
people walk down a street at night in seoul, south korea, on july 30Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
pants neighborhood handrail urban building overcoat window footwear stairs pedestrian outdoors transportation sidewalk luggage hat walkway area road outdoor rug jacket intersection flooring container da bag city shoe land street rich storefront coat metropolis path backpack car vehicle alley accessories korea walking town lighting home decor floor handbag
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-03-20T03:07:18.650000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.02%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.73%)
harmonious color
(0.50%)
immersiveness
(3.17%)
interaction
(1.00%)
interesting subject
(-36.21%)
intrusive object presence
(-5.00%)
lively color
(-28.52%)
low light
(94.92%)
noise
(-1.42%)
pleasant camera tilt
(-7.67%)
pleasant composition
(-46.73%)
pleasant lighting
(-44.58%)
pleasant pattern
(6.45%)
pleasant perspective
(10.44%)
pleasant post processing
(2.09%)
pleasant reflection
(-3.08%)
pleasant symmetry
(2.44%)
sharply focused subject
(0.27%)
tastefully blurred
(-6.22%)
well chosen subject
(-8.59%)
well framed subject
(-30.88%)
well timed shot
(1.26%)
all
(-3.82%)
* 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.