Photos | Urban Symphony: Chinatown in Dusk
A bustling Chinatown street captured in an evening allure on November 26, 2023. Parked cars, vibrant storefronts and city dwellers ushering in the nightlife are beautifully framed against a backdrop of dramatic evening sky. This image encapsulates the essence of downtown life - a blend of metropolis architecture, transportation, and passion for city living.
BLIP-2 Description:
a street with a building and cars parked in front of itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban storefront street 原 old restaurant transportation town outdoor 海鮮 footwear window path mall sky brick cafeteria city evening bench canton automobile car hinese orient shop sidewalk building arch 年 sign canopy intersection outdoors shoe tarmac seafood cloudy frol cafe cuisine neighborhood (ball) 酒家 bazara shanghai office area plant unique downtown sum metropolis road araoke vehicle ball awning architecture machine symbol spoke sport blue treasures furniture bazaar basketball indoors shelter shopping chinatown land
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(36.35%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.10%)
harmonious color
(1.08%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-58.54%)
intrusive object presence
(-46.88%)
lively color
(-13.42%)
low light
(63.87%)
noise
(-0.59%)
pleasant camera tilt
(-15.38%)
pleasant composition
(-88.57%)
pleasant lighting
(-40.55%)
pleasant pattern
(2.61%)
pleasant perspective
(7.50%)
pleasant post processing
(-1.87%)
pleasant reflection
(-0.65%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.17%)
tastefully blurred
(2.37%)
well chosen subject
(5.85%)
well framed subject
(-33.03%)
well timed shot
(-2.62%)
all
(-6.72%)
* 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.