Photos | The Flight of the City
Kazuya Minekura captures the beauty of a plane flying over a city street at night, showcasing the vibrancy of urban life through his art.
BLIP-2 Description:
a mural of a plane flying over a city street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
architecture hydrant dai urban neighborhood west building wall footwear baby flat outdoors transportation sidewalk hat minutes road outdoor lptuaz mural sky traffic city pm shoe bag land courthouse street art billboard glove sun fire machine public rate parking water metropolis path bus sat wheel nature sign car vehicle light violation accessories night bureau lighting entrance stop media lamppost kazuya minekura convenient advertisement advertising 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
2017-07-28T23:32:08.514000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.66%)
harmonious color
(-0.30%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-40.58%)
intrusive object presence
(-3.20%)
lively color
(-13.44%)
low light
(95.31%)
noise
(-5.76%)
pleasant camera tilt
(-6.06%)
pleasant composition
(-27.61%)
pleasant lighting
(-45.51%)
pleasant pattern
(9.96%)
pleasant perspective
(6.73%)
pleasant post processing
(-0.16%)
pleasant reflection
(-2.13%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.46%)
tastefully blurred
(-11.04%)
well chosen subject
(-20.39%)
well framed subject
(-8.69%)
well timed shot
(-0.86%)
all
(-3.56%)
* 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.