Photos | Urban Charm: Street-side Parking In 2023 Chinatown
Casual city scene captured on November 26, 2023. A snapshot of everyday life in the bustling neighbourhood of Chinatown showcasing a car nestled among urban architecture. Sedan or sports car, each contributes to the symphony of the city. Notice the subtle elements that tell a grander story - from the pedestrian-friendly sidewalk to the faint display of 7 people and their eclectic accessories. Every inch speaks 'urban'. Grab your footwear, let's walk!
BLIP-2 Description:
a car parked on the side of a streetMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
服務社 美國 box urban storefront street wheel flag eu plate transportation town 入 outdoor wall footwear zio 華人 bag tire path motorcycle balcony vielnamese sky authentic vetrem golden city sports automobile car flower sidewalk building 華 license min intersection shoe 曾 coupe outdoors handbag tarmac cloudy pho residential neighborhood 互助 office area spoke metropolis handrail road vehicle 金山 architecture machine blue apartment accessories sedan alloy wheel shelter chinatown land
Detected Text
iso
100
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(30.66%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.22%)
harmonious color
(-2.14%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-66.65%)
intrusive object presence
(-11.06%)
lively color
(-19.51%)
low light
(28.34%)
noise
(-1.03%)
pleasant camera tilt
(-13.02%)
pleasant composition
(-79.30%)
pleasant lighting
(-40.92%)
pleasant pattern
(3.17%)
pleasant perspective
(7.42%)
pleasant post processing
(0.20%)
pleasant reflection
(-1.88%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.20%)
tastefully blurred
(0.50%)
well chosen subject
(10.96%)
well framed subject
(-43.29%)
well timed shot
(-1.14%)
all
(-6.74%)
* 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.