Photos | Red-Lit Performance by Pete Wentz and More at Coachella
Musician Pete Wentz joins others on stage for an electrifying performance bathed in red lights at the 2013 Coachella concert.
BLIP-2 Description:
a band on stage at a concert with red lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
weekend art instrument recreation bracelet music band music glasses musician footwear performing leisure joe trohman coachella activities musical piano keyboard entertainer necklace arts ro james jewelry device hurley concert performer stage lighting electric guitar electronics shoe glove string chainz (ball) day microphone speakers music rock spotlight volleyball guitarist ball wristwatch andy performance guitar speaker group hat sport light accessories electrical crowd pete wentz
iso
400
metering mode
5
aperture
f/2.8
exposure bias
-1
focal length
23mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(40.01%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.39%)
harmonious color
(-2.55%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(12.54%)
intrusive object presence
(-22.44%)
lively color
(-15.15%)
low light
(99.76%)
noise
(-1.95%)
pleasant camera tilt
(-11.06%)
pleasant composition
(-58.98%)
pleasant lighting
(-35.16%)
pleasant pattern
(10.35%)
pleasant perspective
(4.98%)
pleasant post processing
(-0.43%)
pleasant reflection
(0.34%)
pleasant symmetry
(1.83%)
sharply focused subject
(0.39%)
tastefully blurred
(-7.31%)
well chosen subject
(-14.66%)
well framed subject
(-8.50%)
well timed shot
(9.90%)
all
(-3.51%)
* 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.