Photos | Urban Chic – A Day in Chinatown
Cameron J and Michaela radiate city cool as they pose casually in front of an iconic building in Chinatown in November 2023. Their combined style - complete with accessories, glasses and impeccable knitwear, reflects the metropolitan spirit of their surroundings. Note the extra urban touch - two coffee cups in hand, capturing the essence of their busy, stylish lifestyle. Careful, their sweatshirt, and sweater combined with their dazzling jackets might redefine your definition of Urban Chic!
BLIP-2 Description:
a man and woman standing in front of a buildingChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban ring bracelet portrait glasses jeans shirt outdoor house hoodie window porch jacket housing city sweatshirt jewelry building blonde pergola outdoors coat sleeve neighborhood michaela knitwear hair office pants plant metropolis wristwatch cup cameron architecture long sweater hood patio accessories photography shelter chinatown part
iso
100
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(51.22%)
curation
(70.99%)
highlight visibility
(6.11%)
behavioral
(90.70%)
failure
(-0.32%)
harmonious color
(4.77%)
immersiveness
(0.12%)
interaction
(4.00%)
interesting subject
(30.81%)
intrusive object presence
(-11.40%)
lively color
(-22.50%)
low light
(93.99%)
noise
(-2.08%)
pleasant camera tilt
(-4.83%)
pleasant composition
(-47.22%)
pleasant lighting
(-60.64%)
pleasant pattern
(8.40%)
pleasant perspective
(9.18%)
pleasant post processing
(7.99%)
pleasant reflection
(-0.21%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.63%)
tastefully blurred
(-7.72%)
well chosen subject
(-49.66%)
well framed subject
(59.86%)
well timed shot
(3.41%)
all
(-4.76%)
* 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.