Photos | Electric Crowd
MØ, DJ Snake, and Leighton Paul Walsh perform on stage at Coachella, surrounded by a vibrant crowd and lighting effects. One fan loses themselves in the moment and ends up on the ground.
BLIP-2 Description:
a group of people on stage with one man on the groundChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
8688w x 5792h - (download 4k)
Usage
Dominant Color:
activities sunday urban leisure music footwear beverage stage snake microphone hat coffee cup performing arts musician guitarist coffee performance shoe disc art glasses leighton paul walsh coachella performer group performance accessories musical instrument band lighting mø device guitar rock concert concert crowd jockey electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2016-04-17T20:24:56.340000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.56%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-1.25%)
harmonious color
(8.07%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-15.11%)
intrusive object presence
(-39.75%)
lively color
(-26.42%)
low light
(95.36%)
noise
(-8.94%)
pleasant camera tilt
(-5.23%)
pleasant composition
(-53.96%)
pleasant lighting
(-29.22%)
pleasant pattern
(3.00%)
pleasant perspective
(-2.52%)
pleasant post processing
(11.51%)
pleasant reflection
(-5.48%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.63%)
tastefully blurred
(-11.18%)
well chosen subject
(7.50%)
well framed subject
(6.18%)
well timed shot
(19.75%)
all
(-0.66%)
* 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.