Photos | Urban Nightlife on Koreas' Streets

A vibrant snapshot capturing 19 individuals immersed in the buzzy nightlife of Korea, walking under the city lights reflected off the tarmac. Dressed in a mixture of coats, jackets, jeans, and varied accessories, these pedestrians paint the street scene with urban vitality. Amidst 4 cars, a monitor subtly glows in the background reminding us of the ever-present touch of technology. Taken on March 21st, 2024 at 03:55am, this scene exudes the pulsating rhythm of the city's nocturnal heartbeat.
BLIP-2 Description:
a group of people standing on the street at nightMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tarmac jacket path city urban outdoors hardware intersection car vehicle screen jeans stop transportation accessories bag sidewalk outdoor street pants road night glasses building footwear crowd monitor metropolis coat neighborhood korea computer pedestrian walking handbag overcoat life bus land hat nature electronics shoe
iso
25600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T03:55:47.680000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.17%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.70%)
failure
(-0.83%)
harmonious color
(0.28%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-17.85%)
intrusive object presence
(-20.14%)
lively color
(-33.28%)
low light
(90.67%)
noise
(-8.13%)
pleasant camera tilt
(-8.33%)
pleasant composition
(-63.96%)
pleasant lighting
(-70.90%)
pleasant pattern
(5.32%)
pleasant perspective
(2.76%)
pleasant post processing
(-0.05%)
pleasant reflection
(-1.13%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.15%)
tastefully blurred
(-16.21%)
well chosen subject
(-24.67%)
well framed subject
(-24.91%)
well timed shot
(4.07%)
all
(-10.16%)
* 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.