Photos | Urban Exploration: A Day in Chinatown
The vibrant city life encapsulates Michaela in this snapshot, standing casually outside a bustling Chinatown restaurant. The picture showcases the city's pulsating atmosphere, filled with automobiles, pedestrians, and an array of urban elements - truly a vivid representation of a day in the metropolis. Notice her accessories, a hat paired with glasses deftly adding to the city explorer aesthetic. Captured on a late afternoon of Autumn 2023.
BLIP-2 Description:
a woman standing outside of a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
cafeteria 米 pants neighborhood urban 米粉 food window chair footwear food court 排骨 plywood transportation sidewalk 逼橋 慶 wristwatch hat walkway area 米飯 furniture outdoor road restaurant traffic wood city shoe land street sitting diner machine desk glasses indoors dining chinatown metropolis path 桂林 car vehicle light table accessories cafe 線 town plate automobile michaela dress 小面 望 undershirt
iso
100
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2023-11-26T14:48:23.600000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(50.24%)
curation
(65.88%)
highlight visibility
(5.57%)
behavioral
(70.62%)
failure
(-0.24%)
harmonious color
(5.04%)
immersiveness
(2.15%)
interaction
(2.00%)
interesting subject
(-14.66%)
intrusive object presence
(-5.59%)
lively color
(-3.62%)
low light
(42.92%)
noise
(-1.44%)
pleasant camera tilt
(-5.20%)
pleasant composition
(-45.46%)
pleasant lighting
(-18.07%)
pleasant pattern
(10.50%)
pleasant perspective
(25.10%)
pleasant post processing
(2.73%)
pleasant reflection
(-0.73%)
pleasant symmetry
(2.32%)
sharply focused subject
(0.39%)
tastefully blurred
(-1.60%)
well chosen subject
(-4.03%)
well framed subject
(-18.96%)
well timed shot
(7.35%)
all
(2.93%)
* 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.