Photos | Nighttime Stroll in the City
A striking mural captures a couple walking along a sidewalk amidst the glow of streetlights and passing cars, surrounded by the hustle and bustle of an urban metropolis.
BLIP-2 Description:
a mural of a man and a woman walking down the street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
advertisement urban dry street night glasses transportation outdoor convenien footwear bag sun maximum path parking sky stop minutes pedestrian courthouse rate city flagstone car sidewalk pm building bureau lighting sign intersection flat shoe outdoors handbag tarmac violation fire neighborhood public stree metropolis road vehicle freddie williams ii hydrant symbol light sat daily bus traffic entrance accessories lamppost walking walkway west land
Detected Text
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/6s
camera make
Apple
camera model
lens model
overall
(32.25%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.56%)
harmonious color
(-1.05%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(-57.37%)
intrusive object presence
(-3.47%)
lively color
(-19.13%)
low light
(80.71%)
noise
(-4.13%)
pleasant camera tilt
(-6.72%)
pleasant composition
(-38.99%)
pleasant lighting
(-48.32%)
pleasant pattern
(5.86%)
pleasant perspective
(3.54%)
pleasant post processing
(-0.57%)
pleasant reflection
(-2.35%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.42%)
tastefully blurred
(-10.35%)
well chosen subject
(-17.72%)
well framed subject
(-15.81%)
well timed shot
(1.14%)
all
(-5.33%)
* 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-3.5-turbo-0301
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.