Photos | Coachella Friday Crowd Rocking Out

Ronnie Carroll and seven other musicians give an electrifying group performance on stage amidst towering trees and beautiful blue skies. The lively crowd is captivated by the music blasting through three massive speakers, as the musicians in helmets and accessories rock out with their musical instruments.
BLIP-2 Description:
a group of people on stage at a concertMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities coachella_friday plant leisure music speaker silhouette stage microphone tree musician outdoor sky bag glasses friday coachella ronnie carroll belt helmet electronics performer group performance accessories musical instrument handbag band speakers device rock concert concert crowd electrical
iso
100
metering mode
5
aperture
f/2.8
focal length
38mm
shutter speed
1/2500s
camera make
Canon
camera model
lens model
date
2007-04-27T13:37:56-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.38%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.24%)
harmonious color
(-2.10%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-3.67%)
intrusive object presence
(-14.58%)
lively color
(-12.05%)
low light
(19.85%)
noise
(-0.22%)
pleasant camera tilt
(-8.86%)
pleasant composition
(-62.40%)
pleasant lighting
(-49.73%)
pleasant pattern
(3.56%)
pleasant perspective
(10.43%)
pleasant post processing
(-0.95%)
pleasant reflection
(3.83%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.15%)
tastefully blurred
(-11.05%)
well chosen subject
(-11.18%)
well framed subject
(-17.70%)
well timed shot
(25.85%)
all
(-3.01%)
* 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.