Photos | Urban Tapestry: Street Scenery in Korea, 2024
An eclectic group including Guo Peiyuan, Ahn Byeong-ki, and Yang Yongliang gather for a snapshot amidst the vibrant hustle and bustle of city life. Clad in jackets and jeans, accessorized with handbags and glasses, they add color and personality to the urban fabric. Beneath the city's billboards, cars whiz by and life unfolds in this bustling metropolis, captured on March 21, 2024.
BLIP-2 Description:
a group of people posing for a picture on a city streetMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban street jeans glasses transportation outdoor ahn eek footwear bag byeong teen path jacket ki pedestrian city billboards car sidewalk building korea sign glove shoe handbag coat neighborhood boy pants guo peiyuan metropolis road vehicle symbol hat bus yang yongliang accessories walking walkway crowd land
iso
25600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(45.90%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(90.84%)
failure
(-0.44%)
harmonious color
(1.03%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(32.96%)
intrusive object presence
(-9.69%)
lively color
(-22.77%)
low light
(76.56%)
noise
(-4.86%)
pleasant camera tilt
(-4.61%)
pleasant composition
(-50.10%)
pleasant lighting
(-37.72%)
pleasant pattern
(11.11%)
pleasant perspective
(8.59%)
pleasant post processing
(3.67%)
pleasant reflection
(-0.16%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.44%)
tastefully blurred
(-18.14%)
well chosen subject
(-31.62%)
well framed subject
(-10.96%)
well timed shot
(2.79%)
all
(-3.47%)
* 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.