Photos | Timekeeping Majesty in Chinatown 2023
Snapshot of an architectural marvel, the clock tower standing tall amongst the bustling city life. Intricately designed, against the backdrop of clear blue skies, it not only graces the skyline but also serves as a beacon of time in the heart of Chinatown. It overlooks a lively urban square, where everyday accessories, handbags, glasses and clothing unified the scene with a touch of colorful humanity. The presence of vehicles and traffic signals, against the canvas of this architectural spectacle, illustrated the beautiful coalescence of time, tradition, and modernity.
BLIP-2 Description:
a building with a clock towerMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban clock street glasses transportation town outdoor footwear window bag corner path tone tower sky monastery son crosswalk city timepiece automobile car sidewalk arch building square serve 外園 shoe handbag fire construction ce cloudy dial mark 酒家 area sum metropolis road vehicle hydrant architecture machine blue hat trade light spire traffic accessories lamppost plaza chinatown land
iso
100
metering mode
5
aperture
f/3.5
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(35.30%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.29%)
harmonious color
(-1.64%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-57.81%)
intrusive object presence
(-21.97%)
lively color
(-21.18%)
low light
(47.34%)
noise
(-0.63%)
pleasant camera tilt
(-12.34%)
pleasant composition
(-86.96%)
pleasant lighting
(-53.17%)
pleasant pattern
(4.93%)
pleasant perspective
(10.31%)
pleasant post processing
(-0.41%)
pleasant reflection
(-1.06%)
pleasant symmetry
(1.90%)
sharply focused subject
(0.24%)
tastefully blurred
(-4.55%)
well chosen subject
(10.90%)
well framed subject
(-32.06%)
well timed shot
(-5.54%)
all
(-8.00%)
* 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,
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