Photos | Rocking the Stage at Empire Polo Club
Kenji Kimihara and Terence Lee perform in front of a massive screen at the 2022 concert in Indio, USA. The blue sky and outdoor setting make for the perfect recreation spot as the crowd rocks out to their group performance.
BLIP-2 Description:
a band on stage at a concert with a large screen behind themChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
group activities spotlight urban rock leisure music speaker footwear stage arts microphone hat kimihara performing musician outdoor entertainer performance sky shoe terence lee art glasses helmet rekognition_c electronics kenji performer light accessories musical instrument recreation band lighting device guitar concert crowd electrical
iso
50
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
33.68
longitude
-116.24
shutter speed
1/1553s
camera make
Apple
camera model
date
2022-04-15T15:11:54.146000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(41.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-0.46%)
harmonious color
(2.41%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(-10.21%)
intrusive object presence
(-36.74%)
lively color
(-10.92%)
low light
(57.32%)
noise
(-1.68%)
pleasant camera tilt
(-13.38%)
pleasant composition
(-72.36%)
pleasant lighting
(-22.19%)
pleasant pattern
(7.06%)
pleasant perspective
(5.90%)
pleasant post processing
(0.53%)
pleasant reflection
(-2.40%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.24%)
tastefully blurred
(-15.66%)
well chosen subject
(-15.93%)
well framed subject
(-37.04%)
well timed shot
(7.95%)
all
(-2.99%)
* 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.