Photos | Urban Oasis: Gazebo Sanctuary amidst the Metropolis
Taken on a bustling evening in Korea, 2024, this photograph showcases the surprising architectural delight of a gazebo pleasantly nestled in the core of a dynamic shopping mall. A picturesque mingling of the hustle and bustle of modern urban life with the charm of traditional outdoor shelter gives us a calming yet intriguing spectacle. Accessorized hats, handbags, and a tantalizing hint of adjacent restaurants add a touch of color, character, and anticipation for those enjoying their metropolitan stroll.
BLIP-2 Description:
a building with a gazebo in the middle of a shopping mallChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban storefront street wood restaurant glasses outdoor house eek bag rise court path porch mall interior food cafeteria fence housing city plywood shop building korea pergola lighting sign canopy outdoors handbag nature alley neighborhood staircase office downtown handrail metropolis road shopping high symbol architecture awning hat design patio accessories indoors shelter
Detected Text
iso
8000
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(37.11%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(70.42%)
failure
(-0.17%)
harmonious color
(-1.49%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-65.33%)
intrusive object presence
(-4.61%)
lively color
(-21.09%)
low light
(76.17%)
noise
(-2.56%)
pleasant camera tilt
(-11.35%)
pleasant composition
(-78.71%)
pleasant lighting
(-30.93%)
pleasant pattern
(21.73%)
pleasant perspective
(11.09%)
pleasant post processing
(-1.36%)
pleasant reflection
(-0.11%)
pleasant symmetry
(1.93%)
sharply focused subject
(0.42%)
tastefully blurred
(-3.07%)
well chosen subject
(3.97%)
well framed subject
(-33.37%)
well timed shot
(0.26%)
all
(-4.55%)
* 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.