Photos | Urban Delights: A Glimpse into Chinatown's Thriving Café Culture
Rosie Duffield and Michaela exemplifying the thriving cafe energy in Chinatown, 2023. This lively snapshot showcases the vibrant urban life, with our subjects encapsulated amidst the ceaseless bustle of vehicles, pedestrians, and the tensions of city life. Every element, from the traffic lights to the smallest accessories, contributes to Chinatown's unique and dynamic narrative.
BLIP-2 Description:
a man and a woman standing in front of a tableChronologically 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:
rosie duffield path machine cap city urban furniture 米粉 面 desk michaela dining chinatown undershirt 小 sitting vehicle car plant 米 ba cafe shoe transportation court wristwatch 險 indoors accessories bag sidewalk area window traffic outdoor street diner 桂林 road chair plate pants pub glasses footwear cafeteria food automobile 橋 table 線 light metropolis 望 restaurant 米飯 過 handbag land 排骨 hat neighborhood plywood wood
iso
100
metering mode
5
aperture
f/9
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2023-11-26T14:48:21.300000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(44.19%)
curation
(65.63%)
highlight visibility
(5.55%)
behavioral
(70.66%)
failure
(-0.56%)
harmonious color
(-0.02%)
immersiveness
(1.25%)
interaction
(2.00%)
interesting subject
(-20.07%)
intrusive object presence
(-6.69%)
lively color
(-11.01%)
low light
(71.14%)
noise
(-1.68%)
pleasant camera tilt
(-4.22%)
pleasant composition
(-48.61%)
pleasant lighting
(-41.75%)
pleasant pattern
(12.70%)
pleasant perspective
(18.09%)
pleasant post processing
(-0.02%)
pleasant reflection
(-0.78%)
pleasant symmetry
(1.86%)
sharply focused subject
(0.32%)
tastefully blurred
(-14.22%)
well chosen subject
(-7.17%)
well framed subject
(-18.69%)
well timed shot
(7.64%)
all
(-1.46%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.