Photos | Urban Outings - A Night Stroll in Korea
Captured on March 20, 2024; this atmospheric image shows a group of people, including James Liang, immersing themselves in the nocturnal vibes of Korean streets. With their hats on and backpacks ready, they navigate the city's urban labyrinth, where architectural marvels, glowing storefronts, and spontaneous scooter sightings assemble into a captivating urban mosaic.
BLIP-2 Description:
a group of people walking down a street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban backpack storefront street coffee transportation town outdoor eek footwear bag james liang motorcycle nice path pedestrian city sidewalk building korea table lighting shoe handbag desk fine open coat alley neighborhood area manhole metropolis road vehicle scooter architecture hat motor ediya furniture overcoat accessories walkway land
iso
1000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
overall
(34.84%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.76%)
harmonious color
(1.25%)
immersiveness
(4.49%)
interaction
(1.00%)
interesting subject
(-63.92%)
intrusive object presence
(-2.86%)
lively color
(-21.41%)
low light
(67.72%)
noise
(-2.15%)
pleasant camera tilt
(-8.69%)
pleasant composition
(-65.33%)
pleasant lighting
(-51.71%)
pleasant pattern
(4.88%)
pleasant perspective
(3.54%)
pleasant post processing
(-1.05%)
pleasant reflection
(-6.13%)
pleasant symmetry
(1.93%)
sharply focused subject
(0.15%)
tastefully blurred
(-9.83%)
well chosen subject
(7.23%)
well framed subject
(-53.76%)
well timed shot
(-0.87%)
all
(-6.51%)
* 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.