Photos | Brian Ritchie Rocks Coachella Crowd
Bassist for the legendary Violent Femmes, Brian Ritchie, dominates the stage as the audience rocks out to their classic hits under the California sky at Coachella 2013. The captivating lighting and electrifying energy make for an unforgettable performance.
BLIP-2 Description:
a group of people on stage at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
group activities spotlight leisure music speaker stage microphone hat musician outdoor performance sky weekend cloudy glasses candle coachella indoors electronics theater performer light brian ritchie accessories musical instrument recreation band lighting device guitar rock concert concert crowd electrical
iso
100
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2013-04-13T18:53:21.980000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.64%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.46%)
harmonious color
(-1.63%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-37.94%)
intrusive object presence
(-24.73%)
lively color
(-24.55%)
low light
(94.68%)
noise
(-2.42%)
pleasant camera tilt
(-15.87%)
pleasant composition
(-90.33%)
pleasant lighting
(-51.22%)
pleasant pattern
(4.39%)
pleasant perspective
(1.64%)
pleasant post processing
(0.34%)
pleasant reflection
(-0.50%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.05%)
tastefully blurred
(-11.17%)
well chosen subject
(2.09%)
well framed subject
(-42.48%)
well timed shot
(11.54%)
all
(-7.99%)
* 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,
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