Photos | Smoke and Music at Coachella

MØ and Leighton Paul Walsh perform on stage with smoke billowing out of the speakers at Coachella 2016. The crowd is dancing and enjoying the concert.
BLIP-2 Description:
a man and woman on stage with smoke coming out of the speakersMetadata
Capture date:
Original Dimensions:
8688w x 5792h - (download 4k)
Usage
Dominant Color:
walsh group ping pong paddle activities r sunday urban rock leisure music footwear eos baby stage travel hat performing arts musician switch performance shoe paul pong art coat glasses coachella rekognition_c performer sport solo performance accessories musical instrument trip band april spring ping canon lighting mø device part entertainment dress back concert crowd racket dancing leighton dance pose electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2016-04-17T20:25:14.990000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.84%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-1.05%)
harmonious color
(3.60%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(5.47%)
intrusive object presence
(-58.94%)
lively color
(-10.03%)
low light
(90.97%)
noise
(-5.10%)
pleasant camera tilt
(-4.28%)
pleasant composition
(-41.04%)
pleasant lighting
(-24.43%)
pleasant pattern
(11.72%)
pleasant perspective
(-2.81%)
pleasant post processing
(13.40%)
pleasant reflection
(-0.85%)
pleasant symmetry
(0.61%)
sharply focused subject
(2.39%)
tastefully blurred
(7.13%)
well chosen subject
(-1.82%)
well framed subject
(20.87%)
well timed shot
(17.27%)
all
(0.83%)
* 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.