Photos | Rhythm of Chinatown: Urban Symphony
Captured in the bustling heart of Chinatown on 26th November, 2023. This vibrant photograph perfectly encapsulates the symphony of city life - the parked cars lining the streets, pedestrians in lively attire, and architectural wonders standing along the sidewalks. A testament of sorts to the ebb and flow of life, urban street landscapes, and the human pursuit of relentless movement. Featuring Lori S in one of the city's busiest corners, the image boasts of a thriving metropolis alive with energy.
BLIP-2 Description:
a busy street with cars parked on both sidesMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
star urban wheel storefront street 花 plate restaurant glasses transportation town outdoor 國隆 和美 heng footwear peninsula bag tire path foreign parking sky theater pedestrian 葡 city sports automobile car sidewalk building license exchange intersection shoe handbag coupe 外幣 舖 tarmac cloudy lori lot neighborhood 酒家 area spoke 半島 metropolis road 兌換 vehicle 和 美 lane machine great hat bus long accessories alloy wheel walking walkway chinatown land
Detected Text
iso
100
metering mode
5
aperture
f/8
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(30.20%)
curation
(65.00%)
highlight visibility
(5.65%)
behavioral
(90.76%)
failure
(-0.49%)
harmonious color
(-1.64%)
immersiveness
(2.32%)
interaction
(1.00%)
interesting subject
(-75.39%)
intrusive object presence
(-2.61%)
lively color
(-15.43%)
low light
(63.38%)
noise
(-1.49%)
pleasant camera tilt
(-7.28%)
pleasant composition
(-76.71%)
pleasant lighting
(-46.44%)
pleasant pattern
(3.17%)
pleasant perspective
(8.45%)
pleasant post processing
(0.17%)
pleasant reflection
(-3.42%)
pleasant symmetry
(0.88%)
sharply focused subject
(0.20%)
tastefully blurred
(2.92%)
well chosen subject
(13.77%)
well framed subject
(-59.81%)
well timed shot
(-0.75%)
all
(-6.58%)
* 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.