Photos | Two Guitarists Rocking the Stage at 2022 Concert
Takeshi Morishima and Hiroyuki Kaiō perform to a packed crowd at Empire Polo Club, Indio under the blue skies and bright lights.
BLIP-2 Description:
two men on stage with guitars and one is singingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
scooter string spotlight rock singing music speaker footwear stage lamp microphone musical instrument transportation performing arts musician kaiō outdoor entertainer guitarist performance sky shoe art takeshi morishima glasses cord electronics performer vehicle light hiroyuki group performance accessories musical instrument recreation band speakers device guitar concert leisure activities crowd singer electrical
iso
32
metering mode
5
aperture
f/2.8
focal length
9mm
latitude
33.68
longitude
-116.24
shutter speed
1/398s
camera make
Apple
camera model
date
2022-04-15T15:07:21.227000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(59.28%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.60%)
failure
(-0.10%)
harmonious color
(6.99%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(46.95%)
intrusive object presence
(-39.84%)
lively color
(-7.77%)
low light
(43.36%)
noise
(-0.51%)
pleasant camera tilt
(-2.29%)
pleasant composition
(-37.55%)
pleasant lighting
(13.20%)
pleasant pattern
(4.79%)
pleasant perspective
(24.87%)
pleasant post processing
(9.00%)
pleasant reflection
(-1.17%)
pleasant symmetry
(1.71%)
sharply focused subject
(1.39%)
tastefully blurred
(0.96%)
well chosen subject
(-7.80%)
well framed subject
(-5.61%)
well timed shot
(42.48%)
all
(9.93%)
* 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.