Photos | Urban Vibes: Night Out in Korea, 2024
A lively snapshot capturing the spirit of urban excitement. Guo Peiyuan and friends strike a pose amidst the neon-lit streets of a bustling Korean neighbourhood. The varied attire, from jackets to jeans, hats and accessories, reflect an eclectic mesh of personas, just as vital and diverse as the city behind them. This photograph, taken on 21st March 2024 at 3:56AM, encapsulates a moment of nightlife in an urban metropolis, with the hints of transportation, sidewalks, and pedestrians painting a vivid backdrop of city living.
BLIP-2 Description:
a group of people posing for a photo on the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture jeans pants neighborhood urban building portrait overcoat footwear cap pedestrian outdoors transportation hat sidewalk road jacket outdoor intersection tarmac city shoe bag land street coat glasses metropolis path life nature guo peiyuan bus car vehicle accessories night korea walking lighting stop photography handbag shelter
iso
32000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T03:56:00.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.50%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.44%)
harmonious color
(-0.29%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(38.21%)
intrusive object presence
(-15.84%)
lively color
(-29.71%)
low light
(90.14%)
noise
(-6.69%)
pleasant camera tilt
(-9.22%)
pleasant composition
(-36.62%)
pleasant lighting
(-53.08%)
pleasant pattern
(6.42%)
pleasant perspective
(4.26%)
pleasant post processing
(0.89%)
pleasant reflection
(-4.79%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.27%)
tastefully blurred
(-21.25%)
well chosen subject
(-42.33%)
well framed subject
(18.03%)
well timed shot
(1.02%)
all
(-6.45%)
* 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.