Photos | Neon Nights: Urban Metropolis Transformation
Immerse in the captivating beauty of a vibrant cityscape under the night sky. This captivating shot from March 21, 2024 captures the rhythmic pulse of a bustling metropolis in Korea, encapsulating the essence of urban transformation. Notice the high-rise buildings under construction, casting dramatic shadows against the illuminated billboards, whilst vehicles and pedestrians add life and movement to the heart of the city. A testament to the ceaseless progress and the electrifying energy of urban life.
BLIP-2 Description:
a construction site at night with tall buildings and a large screenChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
advertisement urban wheel rekognition_c street night computer transportation outdoor office building water eek metropolitan bag rise mall sky fence waterfront condo housing city billboards car hardware shop building korea skyscraper lighting sign electronics outdoors handbag nature neighborhood area convention downtown metropolis cityscape screen road vehicle high center architecture machine apartment bus accessories monitor shopping night sky
iso
16000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(49.24%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(70.32%)
failure
(-0.37%)
harmonious color
(5.29%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(-11.55%)
intrusive object presence
(-4.22%)
lively color
(-15.12%)
low light
(100.00%)
noise
(-5.98%)
pleasant camera tilt
(-11.15%)
pleasant composition
(-32.59%)
pleasant lighting
(-26.12%)
pleasant pattern
(8.64%)
pleasant perspective
(19.81%)
pleasant post processing
(1.41%)
pleasant reflection
(-2.82%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.17%)
tastefully blurred
(-1.22%)
well chosen subject
(5.82%)
well framed subject
(-16.80%)
well timed shot
(5.76%)
all
(1.81%)
* 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.