Photos | Center Stage with Pharrell Williams and Mette Towley
A lively music performance at Coachella brings Pharrell Williams and Mette Towley center stage, captivating the crowd with their energy and style in the spotlight.
BLIP-2 Description:
a group of people on stage with a man in the middleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
group activities necklace spotlight urban rock leisure music footwear stage microphone hat performing arts musician entertainer saturday performance shoe art williams glove night life club glasses indoors coachella mette towley theater performer jewelry light musical accessories high instrument heel recreation band lighting device pharrell concert crowd electrical
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2014-04-12T22:44:23.070000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.53%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.37%)
harmonious color
(5.08%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(50.83%)
intrusive object presence
(-13.23%)
lively color
(-30.44%)
low light
(98.97%)
noise
(-5.96%)
pleasant camera tilt
(-6.76%)
pleasant composition
(-60.94%)
pleasant lighting
(-36.38%)
pleasant pattern
(3.59%)
pleasant perspective
(0.55%)
pleasant post processing
(0.02%)
pleasant reflection
(-0.45%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.61%)
tastefully blurred
(-5.54%)
well chosen subject
(-27.73%)
well framed subject
(-1.61%)
well timed shot
(29.25%)
all
(-2.76%)
* 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.