Photos | The Friday Night Performance
Stipe Miocic and Ryan Hansen rock the crowd at Coachella 2011 on Friday night. The spotlight highlights the energetic crowd and the speakers blast the music, creating an unforgettable performance.
BLIP-2 Description:
a band on stage at a concert with people watchingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
group stipe activities headgear spotlight urban rock ryan hansen baseball leisure music speaker footwear stage arts microphone hat performing musician furniture performance shoe art desk coat friday coachella life helmet rekognition_c electronics miocic performer light table musical instrument night recreation band speakers lighting device guitar rock concert concert crowd electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2011-04-16T00:52:31.560000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.18%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.62%)
failure
(-0.61%)
harmonious color
(2.06%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-40.50%)
intrusive object presence
(-14.33%)
lively color
(-13.23%)
low light
(99.37%)
noise
(-4.05%)
pleasant camera tilt
(-10.12%)
pleasant composition
(-78.86%)
pleasant lighting
(-45.95%)
pleasant pattern
(7.74%)
pleasant perspective
(-4.25%)
pleasant post processing
(2.36%)
pleasant reflection
(-0.11%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.17%)
tastefully blurred
(-3.28%)
well chosen subject
(-9.31%)
well framed subject
(-56.05%)
well timed shot
(15.47%)
all
(-5.74%)
* 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.