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:
tarmac path machine 海鮮 shelter city urban outdoors furniture 年 chinatown treasures vehicle car intersection sky shanghai plant symbol cafe shopping transportation storefront downtown old indoors area sign sidewalk window hinese outdoor street frol sport road cuisine arch building footwear basketball architecture cafeteria canton shop spoke canopy automobile orient bench awning office sum metropolis ball mall restaurant bazara bazaar unique 原 araoke cloudy land town seafood 酒家 (ball) neighborhood brick shoe
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
date
2023-11-26T16:33:46.650000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.35%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
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.