Photos | Urban Night Walk

Kazuya Minekura admires a mural of a couple walking on a city sidewalk, surrounded by the glow of street lamps and the night sky.
BLIP-2 Description:
a mural of a man and a woman walking on the sidewalk at nightMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
west lighting path walkway city urban outdoors mural hydrant intersection car vehicle day entrance sky fire minutes lamppost transportation sat stop public mammal parking sidewalk sign bureau violation traffic outdoor street sun pm road animal media night building footwear architecture pan kazuya minekura pet flat dog wall convenient light courthouse metropolis advertising painting bus canine land advertisement daily art nature neighborhood shoe
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
date
2017-07-28T23:32:07.164000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.49%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.66%)
harmonious color
(-0.99%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-47.92%)
intrusive object presence
(-3.69%)
lively color
(-17.48%)
low light
(94.63%)
noise
(-5.93%)
pleasant camera tilt
(-5.84%)
pleasant composition
(-38.92%)
pleasant lighting
(-42.11%)
pleasant pattern
(6.64%)
pleasant perspective
(7.74%)
pleasant post processing
(-3.58%)
pleasant reflection
(-2.28%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.46%)
tastefully blurred
(-11.72%)
well chosen subject
(-16.32%)
well framed subject
(-10.96%)
well timed shot
(2.84%)
all
(-4.56%)
* 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.