Photos | Twilight Gathering: Urban Living in Korea
Under the canvas of the night sky, pedestrians blend with the vibrant urban scenery of a metropolis waking for nocturnal life. Our friend, Guo Peiyuan, in the midst of a lively gathering on a bustling city street. Taken on a memorable night in 2024, this image encapsulates the warmth of camaraderie amidst the cool, city lights.
BLIP-2 Description:
a group of people posing for a photo on a city streetMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban storefront street phone night glasses transportation outdoor mobile shilla eek footwear bag path sky jacket stop pedestrian fence city car sidewalk building korea lighting glove shoe outdoors handbag intersection nature tarmac electronics coat alley neighborhood pants guo peiyuan downtown metropolis road vehicle architecture life hat bus overcoat accessories walking shelter stay crowd land
iso
20000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(45.36%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(70.67%)
failure
(-0.32%)
harmonious color
(2.32%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(21.04%)
intrusive object presence
(-6.18%)
lively color
(-29.93%)
low light
(96.53%)
noise
(-5.69%)
pleasant camera tilt
(-4.63%)
pleasant composition
(-22.07%)
pleasant lighting
(-43.21%)
pleasant pattern
(10.08%)
pleasant perspective
(12.05%)
pleasant post processing
(-0.09%)
pleasant reflection
(0.39%)
pleasant symmetry
(1.59%)
sharply focused subject
(0.29%)
tastefully blurred
(-13.66%)
well chosen subject
(-22.83%)
well framed subject
(1.14%)
well timed shot
(11.65%)
all
(-1.14%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.