Photos | Neon Afterglow: Urban Korea by Night

A captivating snapshot of urban life in Korea taken on March 21, 2024. Serving as the embodiment of the bustling metropolis after dark, this photo captures a street sign standing like a sentinel in front of an office building. In the backdrop, cars, people, and the gleam of traffic lights create a vibrant tapestry of city life, while the architecture of the building lends a sense of solidity against the seemingly chaotic yet beautifully random patterns of the urban jungle.
BLIP-2 Description:
a street sign is on a pole in front of a buildingMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture gil ti samseong neighborhood urban sticker plant building window metropolitan transportation sidewalk area road outdoor intersection sky tarmac city traffic license land street machine ro metropolis shrub path wheel sign car vehicle light logo lab office safety urban area korea creative lighting plate automobile zone symbol
iso
16000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2024-03-21T06:07:03.980000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.69%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.32%)
harmonious color
(2.84%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-49.15%)
intrusive object presence
(-7.86%)
lively color
(-5.75%)
low light
(94.14%)
noise
(-11.04%)
pleasant camera tilt
(-11.96%)
pleasant composition
(-68.60%)
pleasant lighting
(-34.79%)
pleasant pattern
(3.27%)
pleasant perspective
(9.90%)
pleasant post processing
(0.15%)
pleasant reflection
(-4.93%)
pleasant symmetry
(1.27%)
sharply focused subject
(0.51%)
tastefully blurred
(-5.59%)
well chosen subject
(-0.72%)
well framed subject
(-10.42%)
well timed shot
(1.18%)
all
(-4.01%)
* 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.