Photos | City Nightscape: Urban Camaraderie in Korea, 2024

Under the dazzling shine of city lights and the cover of an inky night sky, our group of 19 strikes a pose. Plastered with smiling faces and the latest fashion-- from overcoats and jackets to the spiffiest shoes-- the true essence of our street-side rendezvous is beautifully captured. As vehicles sling past, adding streaks of lights to the backdrop, and an untouched bus stop nearby serves as our impromptu stage, this memorable night at the heart of Korea's metropolis beckons with the allure of dynamic urban life.
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:
jeans pants neighborhood urban building fence overcoat footwear pedestrian outdoors transportation sidewalk hat road jacket outdoor intersection tarmac city shoe bag land street hardware coat glasses metropolis path bus nature life electronics car vehicle screen accessories monitor computer hardware night korea walking lighting stop handbag
iso
25600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T03:55:48.700000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.54%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.81%)
harmonious color
(-1.78%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-2.03%)
intrusive object presence
(-21.44%)
lively color
(-39.38%)
low light
(92.92%)
noise
(-9.96%)
pleasant camera tilt
(-8.11%)
pleasant composition
(-58.20%)
pleasant lighting
(-71.88%)
pleasant pattern
(5.05%)
pleasant perspective
(3.52%)
pleasant post processing
(0.58%)
pleasant reflection
(-3.37%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.12%)
tastefully blurred
(-19.18%)
well chosen subject
(-30.91%)
well framed subject
(-7.50%)
well timed shot
(7.23%)
all
(-10.08%)
* 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.