Photos | Urban Night Mural
Kazuya Minekura admires a colorful mural on the side of a city building while the urban landscape glows with lampposts, traffic lights, and distant signs.
BLIP-2 Description:
a mural on the side of a building at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
architecture hydrant urban west wall building footwear flat outdoors transportation sidewalk minutes road outdoor mural sky traffic city da pm shoe land courthouse street bag art sun fire machine public rate parking glasses water tcaz 宫 path bus sat wheel nature sign car vehicle light violation accessories night bureau lighting entrance stop lamppost kazuya minekura convenient advertisement handbag painting symbol
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
2017-07-28T23:32:12.759000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.83%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.66%)
harmonious color
(-0.94%)
immersiveness
(0.44%)
interaction
(2.00%)
interesting subject
(-54.74%)
intrusive object presence
(-4.03%)
lively color
(-18.42%)
low light
(96.39%)
noise
(-8.74%)
pleasant camera tilt
(-6.04%)
pleasant composition
(-41.53%)
pleasant lighting
(-56.30%)
pleasant pattern
(7.84%)
pleasant perspective
(3.13%)
pleasant post processing
(0.21%)
pleasant reflection
(-2.69%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.37%)
tastefully blurred
(-14.20%)
well chosen subject
(-17.98%)
well framed subject
(-17.26%)
well timed shot
(-4.19%)
all
(-6.89%)
* 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.